Among the many families of nonperiodic tilings known so far, SCD tilings are still a bit mysterious. Here, we determine the diffraction spectra of point sets derived from SCD tilings and show that they have no absolutely continuous part, that they have a uniformly discrete pure point part on the axis Re3, and that they are otherwise supported on a set of concentric cylinder surfaces around this...

In many larger organizations like internationally operating companies, owners of analytical information systems must frequently cope with change. An important part of this problem is the restructuring of attributes serving as classification categories, so-called dimensions. This pattern language concerns itself with different ways of preparing for and dealing with changes in the real world and ...

Large-scale `1-regularized loss minimization problems arise in high-dimensional applications such as compressed sensing and high-dimensional supervised learning, including classification and regression problems. High-performance algorithms and implementations are critical to efficiently solving these problems. Building upon previous work on coordinate descent algorithms for `1-regularized probl...

Banks faces the challenges of managing marketing campaign leads in its data warehouse. The management of marketing campaign leads in data warehouse with real time updating and recording is complex especially when multiple campaigns are active simultaneously. To prevent the customers from being contacted too often for salesbased marketing contacts, the concept of Recency Frame is introduced to s...

Software reuse and hardware integration are key factors to offer flexible, low-cost smart environments. Until now, we have been using a static process called the SCD-process to allow a tool-supported realization of such smart environments. The SCD-process is comprised of three different phases: specification, configuration, and deployment. As an initially specified environment is expected to ch...

In the paper we establish some new results depending on the comparative growth properties of composition of entire functions using relative $L^{ast }$-order (relative $L^{ast }$-lower order) as compared to their corresponding left and right factors where $Lequiv Lleft( rright) $ is a slowly changing function.

Steven A. Webber, MBChB; Steven E. Lipshultz, MD; Lynn A. Sleeper, ScD; Minmin Lu, MS; James D. Wilkinson, MD; Linda J. Addonizio, MD; Charles E. Canter, MD; Steven D. Colan, MD; Melanie D. Everitt, MD; John Lynn Jefferies, MD; Paul F. Kantor, MD; Jacqueline M. Lamour, MD; Renee Margossian, MD; Elfriede Pahl, MD; Paolo G. Rusconi, MD; Jeffrey A. Towbin, MD; on behalf of the Pediatric Cardiomyop...

Regularized risk minimization often involves non-smooth optimization, either because of the loss function (e.g., hinge loss) or the regularizer (e.g., l1-regularizer). Gradient methods, though highly scalable and easy to implement, are known to converge slowly. In this paper, we develop a novel accelerated gradient method for stochastic optimization while still preserving their computational si...

Design and maintenance of data warehouses has become an important research topic. In parallel to this, the topic of temporal databases is also an active area of research. This article covers the application of temporal ideas to data warehouse design. First, we present the notion of a data warehouse in general and describe the most approved method of structuring data in data warehouses, namely s...

We present K -band surface photometry of a sample of 31 inclined Sa-Scd galaxies, together with additional Jand H-band data for four of them. In this first paper of a series, profiles are presented, together with global and isophotal parameters. Our profiles are compared to similar B, R and I data collected from other sources. Three galaxies exhibit previously unknown small bars in their center...