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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: It is suggested that a significant functional differentiation at the local synaptic plasticity level occurs between the two poles of hippocampus, which together with the substantial differences in their extrinsic connections, may help explain the reported differential participation of neurons in these parts of hippocampus during animal memory tests.

122 citations

Journal ArticleDOI
TL;DR: In this article, the major evolutions of modularity concepts are reviewed in the case of the automotive industry, including the vehicle's body design requirements that have to be met in order for such a modular approach to be effective.
Abstract: Modularization has been used mostly in order for the management of complex systems to be simplified. In the present paper, the major evolutions of modularity concepts are reviewed in the case of the automotive industry. The current trend indicates that the next generation of vehicles will change from the integrated “unibody” with high production volume and low flexibility, to the modular ones of middle to high production volume and flexibility. Typical examples of different modular design approaches are presented and discussed. The paper includes the vehicle's body design requirements that have to be met in order for such a modular approach to be effective.

122 citations

Proceedings ArticleDOI
03 Jul 2013
TL;DR: The results suggest that the use of EMD can increase the discrimination ability of the conventional feature sets extracted from the raw EMG signal.
Abstract: This paper presents a pattern recognition approach for the identification of basic hand movements using surface electromyographic (EMG) data. The EMG signal is decomposed using Empirical Mode Decomposition (EMD) into Intrinsic Mode Functions (IMFs) and subsequently a feature extraction stage takes place. Various combinations of feature subsets are tested using a simple linear classifier for the detection task. Our results suggest that the use of EMD can increase the discrimination ability of the conventional feature sets extracted from the raw EMG signal.

122 citations

Journal ArticleDOI
TL;DR: In this article, the authors present results of a comprehensive experimental program on the seismic response of full-scale freestanding laboratory equipment using two idealized contact friction models: the elastoplastic model and the classical Coulomb friction model.
Abstract: This paper presents results of a comprehensive experimental program on the seismic response of full-scale freestanding laboratory equipment First, quasi-static experiments are conducted to examine the mechanical behavior of the contact interface between the laboratory equipment and floors Based on the experimental results, the response analysis that follows adopts two idealized contact friction models: the elastoplastic model and the classical Coulomb friction model Subsequently, the paper presents shake table test results of full-scale freestanding equipment subjected to ground and floor motions of hazard levels with corresponding displacements that can be accommodated by the shake table at the UC Berkeley Earthquake Engineering Research Center For the equipment tested, although some rocking is observed, sliding is the predominant mode of response, with sliding displacements reaching up to 60 cm Numerical simulations with the proposed models are performed Finally, the paper identifies a physically motivated intensity measure and the associated engineering demand parameter with the help of dimensional analysis and presents ready-to-use fragility curves Copyright © 2008 John Wiley & Sons, Ltd

122 citations

Book ChapterDOI
01 Jan 2017
TL;DR: In this paper, the degradation of polyethylene, polypropylene, and polyethylenes terephthalate (PET) is studied and shown to be a dynamic situation with continuous changing parameters.
Abstract: It is very important to understand the interaction between plastics and environment in ambient conditions. The plastics degrade because of this interaction and often their surface properties change resulting in the creation of new functional groups. The plastics after this change continue to interact with the environment and biota. It is a dynamic situation with continuous changing parameters. Polyethylene, polypropylene, and polyethylene terephthalate (PET) degrade through the mechanisms of photo-, thermal, and biodegradation. The three polymers degrade with different rates and different pathways. Under normal conditions, photo- and thermal degradation are similar. For polyethylene, photo-degradation results in sharper peaks in the bands which represent ketones, esters, acids, etc. on their infrared spectrum. The same is true for polypropylene but this polymer is more resistant to photo-degradation. The photo-oxidation of PET involves the formation of hydroperoxide species through oxidation of the CH2 groups adjacent to the ester linkages and the hydroperoxides species involving the formation of photoproducts through several pathways. For the three polymers, interaction with microbes and formation of biofilms are different. Generally, biodegradation results in the decrease of carbonyl indices if the sample has already been photo-degraded by exposure to UV. Studies with environmental samples agree with these findings but the degradation of plastics is very subjective to the local environmental conditions that are usually a combination of those simulated in laboratory conditions. For example, some studies suggested that fragmentation of plastic sheet by solar radiation can occur within months to a couple of years on beaches, whereas PET bottles stay intact over 15 years on sea bottoms.

122 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