Institution
Polytechnic University of Milan
Education•Milan, Italy•
About: Polytechnic University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Finite element method & Population. The organization has 18231 authors who have published 58416 publications receiving 1229711 citations. The organization is also known as: PoliMi & L-NESS.
Topics: Finite element method, Population, Laser, Nonlinear system, Detector
Papers published on a yearly basis
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University of Kent1, University of Potsdam2, University of Victoria3, Carnegie Mellon University4, Catholic University of Leuven5, Polytechnic University of Milan6, Hasso Plattner Institute7, University of Washington8, West Virginia University9, University of Vienna10, University of Paderborn11, University of Kassel12, Vanderbilt University13, George Mason University14, CA Technologies15, University of Trento16, Ludwig Maximilian University of Munich17, Bell Labs18
TL;DR: In this paper, the authors present the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems, focusing on four essential topics of selfadaptation: design space for selfadaptive solutions, software engineering processes, from centralized to decentralized control, and practical run-time verification & validation.
Abstract: The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
783 citations
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TL;DR: This work uses a mathematical framework to propose definitions of several important measurement concepts (size, length, complexity, cohesion, coupling) and believes that the formalisms and properties it introduces are convenient and intuitive and contributes constructively to a firmer theoretical ground of software measurement.
Abstract: Little theory exists in the field of software system measurement. Concepts such as complexity, coupling, cohesion or even size are very often subject to interpretation and appear to have inconsistent definitions in the literature. As a consequence, there is little guidance provided to the analyst attempting to define proper measures for specific problems. Many controversies in the literature are simply misunderstandings and stem from the fact that some people talk about different measurement concepts under the same label (complexity is the most common case). There is a need to define unambiguously the most important measurement concepts used in the measurement of software products. One way of doing so is to define precisely what mathematical properties characterize these concepts, regardless of the specific software artifacts to which these concepts are applied. Such a mathematical framework could generate a consensus in the software engineering community and provide a means for better communication among researchers, better guidelines for analysts, and better evaluation methods for commercial static analyzers for practitioners. We propose a mathematical framework which is generic, because it is not specific to any particular software artifact, and rigorous, because it is based on precise mathematical concepts. We use this framework to propose definitions of several important measurement concepts (size, length, complexity, cohesion, coupling). It does not intend to be complete or fully objective; other frameworks could have been proposed and different choices could have been made. However, we believe that the formalisms and properties we introduce are convenient and intuitive. This framework contributes constructively to a firmer theoretical ground of software measurement.
771 citations
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TL;DR: Even in the late ART era, survival during the first 3 years of ART continues to improve, which probably reflects transition to less toxic antiretroviral drugs, improved adherence, prophylactic measures, and management of comorbidity.
762 citations
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TL;DR: It is reported that intra-arterial delivery of wild-type canine mesoangioblasts (vessel-associated stem cells) results in an extensive recovery of dystrophin expression, normal muscle morphology and function, and a remarkable clinical amelioration and preservation of active motility.
Abstract: Duchenne muscular dystrophy remains an untreatable genetic disease that severely limits motility and life expectancy in affected children. The only animal model specifically reproducing the alterations in the dystrophin gene and the full spectrum of human pathology is the golden retriever dog model. Affected animals present a single mutation in intron 6, resulting in complete absence of the dystrophin protein, and early and severe muscle degeneration with nearly complete loss of motility and walking ability. Death usually occurs at about 1 year of age as a result of failure of respiratory muscles. Here we report that intra-arterial delivery of wild-type canine mesoangioblasts (vessel-associated stem cells) results in an extensive recovery of dystrophin expression, normal muscle morphology and function (confirmed by measurement of contraction force on single fibres). The outcome is a remarkable clinical amelioration and preservation of active motility. These data qualify mesoangioblasts as candidates for future stem cell therapy for Duchenne patients.
761 citations
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TL;DR: In this article, the authors present the present status and the perspective of de-NO x SCR catalysis for stationary sources, that is based on the reduction of NO x by NH 3 to form water and nitrogen.
Abstract: This paper surveys the present status and the perspective of de-NO x SCR catalysis for stationary sources, that is based on the reduction of NO x by NH 3 to form water and nitrogen. After a brief description of the SCR chemistry the characteristics of commercial SCR catalysts, their physico-chemical properties and reactivity, and their performances in both NO x reduction and SO 2 oxidation are presented. The mechanism of the SCR reactions, the mathematical modeling of the reactor and the arrangements of the reactor and process are then described. Finally the emerging technologies for NO x removal and the future perspectives of the SCR catalysis are outlined.
760 citations
Authors
Showing all 18743 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alex J. Barker | 132 | 1273 | 84746 |
Pierluigi Zotto | 128 | 1197 | 78259 |
Andrea C. Ferrari | 126 | 636 | 124533 |
Marco Dorigo | 105 | 657 | 91418 |
Marcello Giroletti | 103 | 558 | 41565 |
Luciano Gattinoni | 103 | 610 | 48055 |
Luca Benini | 101 | 1453 | 47862 |
Alberto Sangiovanni-Vincentelli | 99 | 934 | 45201 |
Surendra P. Shah | 99 | 710 | 32832 |
X. Sunney Xie | 98 | 225 | 44104 |
Peter Nijkamp | 97 | 2407 | 50826 |
Nicola Neri | 92 | 1122 | 41986 |
Ursula Keller | 92 | 934 | 33229 |
A. Rizzi | 91 | 653 | 40038 |
Martin J. Blunt | 89 | 485 | 29225 |