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Institution

University of Patras

EducationPátrai, 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.


Papers
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Journal ArticleDOI
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

Journal ArticleDOI
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

Proceedings ArticleDOI
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

Journal ArticleDOI
Milan Chytrý1, Stephan M. Hennekens2, Borja Jiménez-Alfaro1, Ilona Knollová1, Jürgen Dengler3, Florian Jansen4, Flavia Landucci1, Joop H.J. Schaminée2, Svetlana Aćić5, Emiliano Agrillo, Didem Ambarlı6, Pierangela Angelini, Iva Apostolova7, Fabio Attorre, Christian Berg8, Erwin Bergmeier9, Idoia Biurrun10, Zoltán Botta-Dukát, Henry Brisse, Juan Antonio Campos10, Luis Carlón, Andraž Čarni11, Laura Casella, János Csiky12, Renata Ćušterevska, Zora Dajić Stevanović5, Jiří Danihelka1, Els De Bie13, Patrice de Ruffray, Michele De Sanctis, W. Bernhard Dickoré, Panayotis Dimopoulos14, Dmytro Dubyna, Tetiana Dziuba, Rasmus Ejrnæs15, Nikolai Ermakov16, Jörg Ewald, Giuliano Fanelli, Federico Fernández-González17, Úna FitzPatrick, Xavier Font18, Itziar García-Mijangos10, Rosario G. Gavilán19, Valentin Golub16, Riccardo Guarino20, Rense Haveman21, Adrian Indreica22, Deniz Işık Gürsoy23, Ute Jandt24, John Janssen2, Martin Jiroušek1, Zygmunt Kącki25, Ali Kavgaci26, Martin Kleikamp, Vitaliy Kolomiychuk27, Mirjana Ćuk28, Daniel Krstonošić29, Anna Kuzemko, Jonathan Lenoir30, Tatiana Lysenko16, Corrado Marcenò1, Corrado Marcenò31, Vassiliy Martynenko16, Dana Michalcová1, Jesper Erenskjold Moeslund15, Viktor Onyshchenko, Hristo Pedashenko7, Aaron Pérez-Haase18, Tomáš Peterka1, Vadim Prokhorov32, Valerijus Rašomavičius, Maria Pilar Rodríguez-Rojo17, John S. Rodwell, Tatiana Rogova32, Eszter Ruprecht33, Solvita Rūsiņa34, Gunnar Seidler24, Jozef Šibík35, Urban Šilc11, Željko Škvorc29, Desislava Sopotlieva7, Zvjezdana Stančić29, Jens-Christian Svenning15, Grzegorz Swacha25, Ioannis Tsiripidis36, Pavel Dan Turtureanu33, Emin Uğurlu23, Domas Uogintas, Milan Valachovič35, Yulia Vashenyak, Kiril Vassilev7, Roberto Venanzoni37, Risto Virtanen38, Lynda Weekes, Wolfgang Willner, Thomas Wohlgemuth, S. M. Yamalov16 
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Thomas J. Meyer120107868519
Thoralf M. Sundt11275555708
Chihaya Adachi11290861403
Eleftherios P. Diamandis110106452654
Roland Siegwart105115451473
T. Geralis9980852221
Spyros N. Pandis9737751660
Michael Tsapatsis7737520051
George K. Karagiannidis7665324066
Eleftherios Mylonakis7544821413
Matthias Mörgelin7533218711
Constantinos C. Stoumpos7519427991
Raymond Alexanian7521121923
Mark J. Ablowitz7437427715
John Lygeros7366721508
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022250
20211,738
20201,672
20191,469
20181,443