Latent TGF-beta binding proteins (LTBPs) are components of the extracellular matrix (ECM). They belong to the fibrillin/LTBP-superfamily, and are high molecular weight glycoproteins characterized by EGF-like repeats and 8-Cys repeats. Most LTBPs associate with the small latent forms of TGF-beta. Their roles include to facilitate the secretion of latent TGF-beta and to target it to the ECM. In o...

Greedy pursuit algorithms (GPAs) are widely used to reconstruct sparse signals. Even though many electromagnetic (EM) inverse scattering problems solved on investigation domains, GPAs have rarely been for this purpose. This is because (i) they require a priori knowledge of the sparsity level in domain, which often not available EM imaging applications, and (ii) matrix does satisfy restricted is...

In this paper we present a method for the application of Convolutional Neural Network (CNN) operators for use in domains which exhibit irregular spatial geometry by use of the spectral domain of a graph Laplacian, Figure 1. This allows learning of localized features in irregular domains by defining neighborhood relationships as edge weights between vertices in graph G. By formulating the domain...

We study a variant of the Schwarz-preconditioned HMC algorithm. In contrast to the original proposal of Lüscher, we apply the domain decomposition in one lattice direction only. This is sufficient to reduce the condition number of the fermion matrix restricted to the domains compared with the full fermion matrix. For the same linear extension of the domain, less links reside on the boundaries o...

We present a solution to guarantee scalable causal ordering through matrix clocks in Message Oriented Middleware (MOM). This solution is based on a decomposition of the MOM in domains of causality, i.e. small groups of servers interconnected by router servers. We prove that, provided the domain interconnection graph has no cycles, global causal order on message delivery is guaranteed through pu...

Several lines of evidence indicate that eukaryotic DNA is arranged in highly supercoiled domains or loops, and that the repeating loops are constrained by attachment to a nuclear skeletal structure termed the nuclear matrix. Active genes are transcribed at the nuclear matrix and during replication the loops are reeled through fixed matrix-associated replication complexes. We have investigated w...

For the semantics of probabilistic features in programming mainly two approaches are used for building models. One is the Giry monad of Borel probability measures over metric spaces, and the other is Jones’ probabilistic powerdomain monad [6] over dcpos (directed complete partial orders). This paper places itself in the second domain theoretical tradition. The probabilistic powerdomain monad is...