INTRODUCTION When elderly people are admitted to hospital, their risk of falling may often not be recognised. The risk of falling in the elderly is linked to frailty. In a Danish study, it was found that the "Identification of Seniors at Risk" screen (ISAR) predicted the patients' amount of health problems, days in hospital and readmission. It may therefore also be a predictor of frailty. This ...

BACKGROUND tools are required to identify high-risk older people in acute emergency settings so that appropriate services can be directed towards them. OBJECTIVE to evaluate whether the Identification of Seniors At Risk (ISAR) predicts the clinical outcomes and health and social services costs of older people discharged from acute medical units. DESIGN an observational cohort study using re...

Inverse synthetic aperture radars (ISAR) are a valuable instrument for assessing the dynamic state of a large object in low Earth orbit. In particular, the images generated by these radars can reach a sufficient resolution to be used during launch support or contingency operations in low Earth orbit, i.e. for confirming the deployment of structures, determining the structural integrity, or anal...

The mathematical proof checker Mizar by Andrzej Trybulec uses a proof input language that is much more readable than the input languages of most other proof assistants. This system also differs in many other respects from most current systems. John Harrison has shown that one can have a Mizar mode on top of a tactical prover, allowing one to combine a mathematical proof language with other styl...

approved: _____________________________________________________ S. Lawrence Marple Jr. This research focused on the use of classical and modern two-dimensional spectral estimation techniques for enhancing inverse synthetic aperture radar (ISAR) imagery. 2-D Classical spectral estimation methods and 2-D modern parametric and non-parametric spectral estimation methods are applied to simulated and...

In this paper, a novel scheme for inverse synthetic aperture radar (ISAR) imaging under low signal-to-noise ratio (SNR) condition is proposed. The method is a preprocess of the high-resolution range profiles and relies on the oversampling in the azimuth direction. It divides the entire coherent processing interval into segments according to the down sampling factor. In each segment, original lo...

Traditionally, Inverse Synthetic Aperture Radar (ISAR) image frames are classified individually in an automatic target recognition system. When information from different image frames is combined, it is usually in the context of timeaveraging to remove statistically independent noise fluctuations between images. The sea state induced variability of the ship target projections between frames, ho...

In existing sparsity-driven inverse synthetic aperture radar (ISAR) imaging framework a sparse recovery (SR) algorithm is usually applied to azimuth compression to achieve high resolution in the cross-range direction. For range compression, however, direct application of an SR algorithm is not very effective because the scattering centers resolved in the high resolution range profiles at differ...

Linkage of vertebral bone marrow fat content with biomechanical strength and trabecular bone structure parameters Thomas Baum, Stefan Ruschke, Olga Gordijenko, Eduardo Grande Garcia, Hendrik Kooijman, Rainer Burgkart, Ernst J Rummeny, Jan S Bauer, and Dimitrios C Karampinos Department of Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Bavaria, Germany, Philips Healt...

Ship detection and classification plays a significant role in naval warfare. Inverse Synthetic Aperture Radar (ISAR) images are being used extensively for feature extraction in ship detection and classification. The classification problem is solved in two steps. The first step is the extraction of features that characterize the target. The second step is to feed the computed feature values to a...