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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 article, the occurrence of chimera states for various coupling schemes in networks of two-dimensional and three-dimensional Hindmarsh-Rose oscillators, which represent realistic models of neuronal ensembles, was identified.
Abstract: We have identified the occurrence of chimera states for various coupling schemes in networks of two-dimensional and three-dimensional Hindmarsh–Rose oscillators, which represent realistic models of neuronal ensembles. This result, together with recent studies on multiple chimera states in nonlocally coupled FitzHugh–Nagumo oscillators, provide strong evidence that the phenomenon of chimeras may indeed be relevant in neuroscience applications. Moreover, our work verifies the existence of chimera states in coupled bistable elements, whereas to date chimeras were known to arise in models possessing a single stable limit cycle. Finally, we have identified an interesting class of mixed oscillatory states, in which desynchronized neurons are uniformly interspersed among the remaining ones that are either stationary or oscillate in synchronized motion.

173 citations

Journal ArticleDOI
TL;DR: A very sensitive hydrophobic assay for proteins (at the nanogram level) is developed using theHydrophobic reagents ammonium sulfate and trichloroacetic acid under pH conditions that increase neutral species concentration in the assay reagent in order to enhance the binding of more CBB dye molecules per protein molecule than in previous CBB-based assays.
Abstract: We investigated the mechanism of Coomassie brilliant blue G-250 (CBB) binding to proteins in order to develop a protein assay with the maximum possible sensitivity. We found that the neutral ionic species of CBB binds to proteins by a combination of hydrophobic interactions and heteropolar bonding with basic amino acids. On the basis of these findings, we developed a very sensitive hydrophobic assay for proteins (at the nanogram level) using the hydrophobic reagents ammonium sulfate and trichloroacetic acid under pH conditions that increase neutral species concentration in the assay reagent in order to enhance the binding of more CBB dye molecules per protein molecule than in previous CBB-based assays.

173 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used the smaller alignment index (SALI) to distinguish rapidly and with certainty between ordered and chaotic motion in Hamiltonian flows, based on the different behaviour of the SALI for the two cases: the index fluctuates around non-zero values for ordered orbits, while it tends rapidly to zero for chaotic orbits.
Abstract: We use the smaller alignment index (SALI) to distinguish rapidly and with certainty between ordered and chaotic motion in Hamiltonian flows This distinction is based on the different behaviour of the SALI for the two cases: the index fluctuates around non-zero values for ordered orbits, while it tends rapidly to zero for chaotic orbits We present a detailed study of SALI’s behaviour for chaotic orbits and show that in this case the SALI exponentially converges to zero, following a time rate depending on the difference of the two largest Lyapunov exponents σ1 ,σ 2 ie SALI ∝ e −(σ

173 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the spontaneous precipitation of vaterite (CaCO 3 ) from aqueous solution in the presence of ethanol, isopropanol and diethylene glycol.

173 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