Establishing the relationship of inhaler satisfaction, treatment adherence, and patient outcomes : A prospective, real-world, cross-sectional survey of US adult asthma patients and physicians

Date of Acceptance: 26/06/2015 Acknowledgements The disease-specific program, on which the analyses were based, was designed and run by Adelphi Real World. The program was supported by a number of pharmaceutical companies, including Meda Pharmaceuticals. This specific analysis, together with this publication, was supported by Meda Pharmaceuticals. The decision to publish was made jointly by all authors cited. Medical writing support and literature searching was provided by Carole Alison Chrvala, PhD of Health Matters, Inc.Peer reviewedPublisher PD

Spectral multipliers for Laplacians with drift on Damek-Ricci spaces

We prove a multiplier theorem for certain Laplacians with drift on Damek-Ricci spaces, which are a class of Lie groups of exponential growth. Our theorem generalizes previous results obtained by W. Hebisch, G. Mauceri and S. Meda on Lie groups of polynomial growth.Comment: 13 page

Equivalence of norms on finite linear combinations of atoms

Let M be a space of homogeneous type and denote by F^\infty_{cont}(M) the space of finite linear combinations of continuous (1,\infty)-atoms. In this note we give a simple function theoretic proof of the equivalence on F^\infty_{cont}(M) of the H^1-norm and the norm defined in terms of finite linear combinations of atoms. The result holds also for the class of nondoubling metric measure spaces considered in previous works of A. Carbonaro and the authors.Comment: 10 pages, revised argumen

Generalized decomposition and cross entropy methods for many-objective optimization

Decomposition-based algorithms for multi-objective optimization problems have increased in popularity in the past decade. Although their convergence to the Pareto optimal front (PF) is in several instances superior to that of Pareto-based algorithms, the problem of selecting a way to distribute or guide these solutions in a high-dimensional space has not been explored. In this work, we introduce a novel concept which we call generalized decomposition. Generalized decomposition provides a framework with which the decision maker (DM) can guide the underlying evolutionary algorithm toward specific regions of interest or the entire Pareto front with the desired distribution of Pareto optimal solutions. Additionally, it is shown that generalized decomposition simplifies many-objective problems by unifying the three performance objectives of multi-objective evolutionary algorithms – convergence to the PF, evenly distributed Pareto optimal solutions and coverage of the entire front – to only one, that of convergence. A framework, established on generalized decomposition, and an estimation of distribution algorithm (EDA) based on low-order statistics, namely the cross-entropy method (CE), is created to illustrate the benefits of the proposed concept for many objective problems. This choice of EDA also enables the test of the hypothesis that low-order statistics based EDAs can have comparable performance to more elaborate EDAs

Frequency content analysis of R&D projects of the EC framework programs with the participation of Euro-Mediterranean partnership countries

On the basis of the CORDIS data on FP5-FP7 programs the activity of MEDA countries in these projects was studied in the priority areas of action. A content analysis of the participation MEDA country organizations in FP5-FP7 has been performed and 25 large-scale investigation areas have been identifiedyesBelgorod State Universit