Results 61 to 70 of about 5,548 (180)
Training‐induced change of diastolic function in heart failure with preserved ejection fraction
Training‐induced change of diastolic function in HFpEF. HIIT, high‐intensity interval training; HFpEF, heart failure with preserved ejection fraction; LVEF, left ventricular ejection fraction; MCT, moderate continuous training; TAPSE, tricuspid annular plane systolic excursion; V̇O2peak, peak oxygen uptake.
Andreas B. Gevaert+12 more
wiley +1 more source
Autism spectrum disorder (ASD) is a neurodevelopmental condition linked to glutamatergic neurotransmission abnormalities. We analyzed by HPLC the cerebral and peripheral profiles of D‐aspartate, D‐serine, and other L‐amino acids involved in NMDA receptor signaling in environmental ASD rat models prenatally exposed to lipopolysaccharide or valproate ...
Anna Di Maio+9 more
wiley +1 more source
A high resolution inverse synthetic aperture radar (ISAR) technique is presented using modified Doppler history based motion compensation. To this purpose, a novel wideband ISAR system is developed that accommodates parametric processing over extended ...
Jung-Hwan Song+3 more
doaj +1 more source
Twenty‐seven Parkinson's disease patients underwent cognitive assessment (MoCA), retinal OCT imaging and brain MRI. Thinning in specific retinal layers (IPL, GCL) correlated both with cognitive decline and thinning of temporal and limbic cortices. This supports retinal imaging as a potential biomarker for detecting neurodegeneration‐related cognitive ...
Kerstin Schweyer+6 more
wiley +1 more source
ABSTRACT Background and Aims A randomized trial has previously demonstrated that neointimal modification with a scoring balloon improves the anti‐restenotic effect of drug‐coated balloon (DCB) in patients with drug‐eluting stent restenosis. There are very limited data about the safety and efficacy of using scoring balloons as part of lesion preparation
Ioannis Merinopoulos+14 more
wiley +1 more source
Multiple Measurement Vectors ISAR Imaging Algorithm Based on a Class of Linearized Bregman Iteration
This study aims to enable steady and speedy acquisition of Inverse Synthetic Aperture Radar (ISAR) images using sparse echo data. To this end, a Multiple Measurement Vectors (MMV) ISAR echo model is studied.
Chen Wenfeng+3 more
doaj +1 more source
Inverse synthetic aperture radar imaging using complex-value deep neural network
As compared with traditional ISAR imaging methods, the compressive sensing (CS)-based imaging methods can obtain high-quality images using much less under-sampled data.
ChangYu Hu+4 more
doaj +1 more source
Vortex-electromagnetic-wave-based ISAR imaging for high-speed maneuvering targets. [PDF]
Bu L, Zhu Y, Chen Y, Yang Y, Zang Y.
europepmc +1 more source
Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing. [PDF]
Lv Q, Zhang S.
europepmc +1 more source
SR-DNnet: A Deep Network for Super-Resolution and De-Noising of ISAR Images
Inverse synthetic aperture radar (ISAR) images have become one of the most important pieces of information for airborne and maritime target identification.
Fengkai Liu+3 more
doaj +1 more source