Institution
University of Patras
Education•Pátrai, Greece•
About: University of Patras is a education organization based out in Pátrai, Greece. It is known for research contribution in the topics: Population & Catalysis. The organization has 13372 authors who have published 31263 publications receiving 677159 citations. The organization is also known as: Panepistímio Patrón.
Topics: Population, Catalysis, Finite element method, Nonlinear system, Graphene
Papers published on a yearly basis
Papers
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Doğuş University1, CERN2, Russian Academy of Sciences3, University of Zaragoza4, University of Alberta5, University of Glasgow6, Hellenic Open University7, Max Planck Society8, University of Chicago9, Aristotle University of Thessaloniki10, University of Freiburg11, University of British Columbia12, Ruhr University Bochum13, Technische Universität Darmstadt14, Goethe University Frankfurt15, Karlsruhe Institute of Technology16, Fermilab17, Lawrence Livermore National Laboratory18, Brookhaven National Laboratory19, University of Patras20
TL;DR: In this paper, the authors reported results from CAST with evacuated magnet bores (phase I), setting limits on lower mass axions, and they also reported results of CAST Phase II, where the magnetbores were filled with 4He gas (phase II) of variable pressure.
Abstract: We have searched for solar axions or other pseudoscalar particles that couple to two photons by using the CERN Axion Solar Telescope (CAST) setup. Whereas we previously have reported results from CAST with evacuated magnet bores (Phase I), setting limits on lower mass axions, here we report results from CAST where the magnet bores were filled with 4He gas (Phase II) of variable pressure. The introduction of gas generates a refractive photon mass mγ, thereby achieving the maximum possible conversion rate for those axion masses ma that match mγ. With 160 different pressure settings we have scanned ma up to about 0.4 eV, taking approximately 2 h of data for each setting. From the absence of excess x-rays when the magnet was pointing to the Sun, we set a typical upper limit on the axion-photon coupling of gaγ2.2 × 10−10 GeV−1 at 95% CL for ma0.4 eV, the exact result depending on the pressure setting. The excluded parameter range covers realistic axion models with a Peccei-Quinn scale in the neighborhood of fa ~ 107 GeV. Currently in the second part of CAST Phase II, we are searching for axions with masses up to about 1.2 eV using 3He as a buffer gas.
251 citations
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TL;DR: Analysis revealed statistically significant improvement in quality of life scores only in group 2 patients, and two patients from group 2 stopped tolterodine while 1 patient from each group stopped tamsulosin because of hypotension.
251 citations
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01 Dec 2010
TL;DR: This work considers the planning problem of an OFDM-based optical network where connections are given a traffic matrix that includes the requested transmission rates of the connections to be served, and proposes a heuristic algorithm that serves connections one-by-one and uses it to solve the Planning problem by sequentially serving all traffic matrix connections.
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) has been recently proposed as a modulation technique for optical networks, due to its good spectral efficiency and impairment tolerance. Optical OFDM is much more flexible compared to traditional WDM systems, enabling elastic bandwidth transmissions. We consider the planning problem of an OFDM-based optical network where we are given a traffic matrix that includes the requested transmission rates of the connections to be served. Connections are provisioned for their requested rate by elastically allocating spectrum using a variable number of OFDM subcarriers. We introduce the Routing and Spectrum Allocation (RSA) problem, as opposed to the typical Routing and Wavelength Assignment (RWA) problem of traditional WDM networks, and present various algorithms to solve the RSA. We start by presenting an optimal ILP RSA algorithm that minimizes the spectrum used to serve the traffic matrix, and also present a decomposition method that breaks RSA into two substituent subproblems, namely, (i) routing and (ii) spectrum allocation (R+SA) and solves them sequentially. We also propose a heuristic algorithm that serves connections one-by-one and use it to solve the planning problem by sequentially serving all traffic matrix connections. To feed the sequential algorithm, two ordering policies are proposed; a simulated annealing meta-heuristic is also used to obtain even better orderings. Our results indicate that the proposed sequential heuristic with appropriate ordering yields close to optimal solutions in low running times.
251 citations
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Masaryk University1, Wageningen University and Research Centre2, University of Bayreuth3, University of Greifswald4, University of Belgrade5, Düzce University6, Bulgarian Academy of Sciences7, University of Graz8, University of Göttingen9, University of the Basque Country10, Slovenian Academy of Sciences and Arts11, University of Pécs12, Research Institute for Nature and Forest13, University of Patras14, Aarhus University15, Russian Academy of Sciences16, Carlos III Health Institute17, University of Barcelona18, Complutense University of Madrid19, University of Palermo20, Ministry of Interior (Bahrain)21, Transilvania University of Brașov22, Celal Bayar University23, Martin Luther University of Halle-Wittenberg24, University of Wrocław25, Forest Research Institute26, Taras Shevchenko National University of Kyiv27, University of Novi Sad28, University of Zagreb29, University of Picardie Jules Verne30, National Research Council31, Kazan Federal University32, Babeș-Bolyai University33, University of Latvia34, Slovak Academy of Sciences35, Aristotle University of Thessaloniki36, University of Perugia37, University of Oulu38
TL;DR: The European Vegetation Archive (EVA) as mentioned in this paper is a database of European vegetation plots developed by the IAVS Working Group Europe Vegetation Survey (WGSVSS) since 2012 and made available for use in research projects in 2014.
Abstract: The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation- plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.
250 citations
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TL;DR: Critical and emerging issues related to matrix assembly in tissues and the multitasking roles for ECM in diseases such as osteoarthritis, fibrosis, cancer, and genetic diseases are presented.
Abstract: Extracellular matrices (ECMs) are highly specialized and dynamic three-dimensional (3D) scaffolds into which cells reside in tissues. ECM is composed of a variety of fibrillar components, such as collagens, fibronectin, and elastin, and non-fibrillar molecules as proteoglycans, hyaluronan, and glycoproteins including matricellular proteins. These macromolecular components are interconnected forming complex networks that actively communicate with cells through binding to cell surface receptors and/or matrix effectors. ECMs exert diverse roles, either providing tissues with structural integrity and mechanical properties essential for tissue functions or regulating cell phenotype and functions to maintain tissue homeostasis. ECM molecular composition and structure vary among tissues, and is markedly modified during normal tissue repair as well as during the progression of various diseases. Actually, abnormal ECM remodeling occurring in pathologic circumstances drives disease progression by regulating cell-matrix interactions. The importance of matrix molecules to normal tissue functions is also highlighted by mutations in matrix genes that give rise to genetic disorders with diverse clinical phenotypes. In this review, we present critical and emerging issues related to matrix assembly in tissues and the multitasking roles for ECM in diseases such as osteoarthritis, fibrosis, cancer, and genetic diseases. The mechanisms underlying the various matrix-based diseases are also discussed. Research focused on the highly dynamic 3D ECM networks will help to discover matrix-related causative abnormalities of diseases as well as novel diagnostic tools and therapeutic targets.
250 citations
Authors
Showing all 13529 results
Name | H-index | Papers | Citations |
---|---|---|---|
Thomas J. Meyer | 120 | 1078 | 68519 |
Thoralf M. Sundt | 112 | 755 | 55708 |
Chihaya Adachi | 112 | 908 | 61403 |
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Roland Siegwart | 105 | 1154 | 51473 |
T. Geralis | 99 | 808 | 52221 |
Spyros N. Pandis | 97 | 377 | 51660 |
Michael Tsapatsis | 77 | 375 | 20051 |
George K. Karagiannidis | 76 | 653 | 24066 |
Eleftherios Mylonakis | 75 | 448 | 21413 |
Matthias Mörgelin | 75 | 332 | 18711 |
Constantinos C. Stoumpos | 75 | 194 | 27991 |
Raymond Alexanian | 75 | 211 | 21923 |
Mark J. Ablowitz | 74 | 374 | 27715 |
John Lygeros | 73 | 667 | 21508 |