We discuss overcomplete blind source separation (BSS), that is separation with more sources than sensors. Finding the mixing matrix solves the linear quadratic BSS problem; in overcomplete BSS however, it is then still not clear and not even unique how to get the sources from the mixtures and the mixing matrix. We therefore follow Bofill and Zibulevsky in [5] and many others and take a two-step...

Broad-spectrum amino-acid racemases (Bsrs) enable bacteria to generate noncanonical D-amino acids, the roles of which in microbial physiology, including the modulation of cell-wall structure and the dissolution of biofilms, are just beginning to be appreciated. Here, extensive crystallographic, mutational, biochemical and bioinformatic studies were used to define the molecular features of the r...

In this paper a new, low power and high speed Bidirectional Shift Register (BSR) architecture is presented. It can be used for the design and the implementation of hard arithmetic operations. Reconfigurable computing, and cryptographic algorithms are two application examples where by using the new BSR their power and speed can be improved. Comparing to the conventional design, the proposed achi...

The Parallel Random Access Machine (PRAM for short) is the most convenient and widely used model of parallel computation. Other, more complex models have also been studied. Examples include the Broadcast with Selective Reduction (or BSR) and the Reconfigurable Multiple Bus Machine (or RMBM). While the PRAM and the BSR are shared memory models, the RMBM accomplishes the communication between pro...

s | 3 of adverse effects that currently limit the use of opioids in the clinic. Supported by USPHS Grant K05DA017918 PM288 Preclinical Evaluation of Neutral Cannabinoid CB1 Receptor Antagonists and Cannabinoid CB1 Receptor Negative Allosteric Modulators for Treating Drug Addiction Eliot L. Gardner1, Guo-Hua Bi1, Ganesh Thakur2, Alexandros Makriyannis2, Herbert H. Seltzman3, Xiang-Hu He4, Zheng-...

Abstract This special issue of Business Systems Research (SI the BSR) is being co-published by Slovenian Society INFORMATIKA – Section for Operational (SSI -SOR). It focuses on recent advances in Operations and Management Science (OR / MS), with a particular emphasis linking OR MS other areas quantitative qualitative methods context multidisciplinary framework. The ten papers that were chosen t...

In this study, the crude oil spot price is forecast using Bayesian symbolic regression (BSR). particular, initial parameters specification of BSR analysed. Contrary to conventional approach regression, which based on genetic programming methods, applies algorithms evolve set expressions (functions). This econometric method able deal with variable uncertainty (feature selection) issues in foreca...