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Awareness of the clinical significance of thoracic aortic aneurismal disease has increased in recent years. As diagnostic tools have improved our ability to identify aortic pathology, surgical ...

Abstract: This brief investigates the robust state estimation problem for cyber-physical systems (CPSs) against false data injection (FDI) attacks. The FDI attack scenario is one in which both the ...

Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, researcher, and educator. She is a financial therapist and transformational coach, with a special interest in ...

Abstract: We propose a new variable step-size diffusion least mean square algorithm for distributed estimation that adaptively adjusts the step-size in every iteration. For a network application, the ...

Background A local welfare scheme, Liverpool Citizens Support Scheme (LCSS), was introduced in 2013 by Liverpool City Council to mitigate acute financial hardship in one of the most disadvantaged ...

This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...

Objective Investigate the association between Johns Hopkins Adjusted Clinical Groups (ACG) risk scores and low scores in self-reported outcome measures (SROMs) among individuals with complex or ...