[1] Seismic studies of the deep mantle suffer from the fact that the probing seismic waves must traverse the highly heterogeneous and poorly resolved shallow structure. One potential way forward is to develop highresolution models of the crust and upper mantle using other information. Here we describe the construction of a geodynamic a priori model of some aspects of upper mantle seismic veloci...

The nonparametric regression originated in mathematical statistics offers an original approach to signal processing problems (e.g., [1], [2]). It basically results in linear Þltering with the linear Þlters designed using some moving window local approximations. In many applications like speech recognition or image denoising, nonlinear or locally adaptive methods have been shown to be more effic...

inequalities in the social determinants of health (sdh), which drive avoidable health disparities between different individuals or groups, is a major concern for a number of international organisations, including the world health organization (who). despite this, the pathways to changing inequalities in the sdh remain elusive. the methodologies and concepts within system science are now viewed ...

We study the question whether the sequential or parallel composition of two functions, each indistinguishable from a random function by non-adaptive distinguishers is secure against adaptive distinguishers. The sequential composition of F(.) and G(.) is the function G(F(.)), the parallel composition is F(.) ? G(.) where ? is some group operation. It has been shown that composition indeed gives ...

OBJECTIVE To determine the association between plasma brain natriuretic peptide (BNP) level in patients with heart failure (HF) and physical frailty as well as with each domain of physical frailty. METHODS Two hundred and six outpatients of cardiovascular medicine aged 60 years and older who had been hospitalized for HF or had been given a prescription medication for HF were included. Physica...

Adaptive query algorithms for finding the minimum of a function f are studied. The algorithms build on the earlier adaptive algorithms given in [5, 7]. The rate of convergence of these algorithms is estimated under various model assumptions on the function f . The first class of algorithms is analyzed when f satisfies a smoothness condition, e.g. f ∈ C, and an assumption on its level sets as gi...

Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal processing applications. This paper extends the one-dimensional adaptive filter algorithms to TD structures and the novel TD adaptive filters are established. Based on this extension, the TD variable step-size normalized least mean squares (TD-VSS-NLMS), the TD-VSS affine projection algorithms (...