Institution
University of Rennes
Education•Rennes, France•
About: University of Rennes is a education organization based out in Rennes, France. It is known for research contribution in the topics: Population & Crystal structure. The organization has 18404 authors who have published 40374 publications receiving 995327 citations.
Topics: Population, Crystal structure, Ruthenium, Catalysis, Antenna (radio)
Papers published on a yearly basis
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TL;DR: In this article, a series of symmetric compounds of the general form (mes)2 B⇐X⇒B(mes) 2 [mes=mesityl=2,4,6 Me3C6H2; ⇐X ⇒=conjugated organic π system such as −(p-C 6H4)n− or trans-trans−CH=CH-n−, p-C6h4n− CH=CH−CH−, CH− CH−
183 citations
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TL;DR: In this article, the nonlinear properties of two distinct chalcogenide glasses were investigated experimentally and theoretically through a spatially resolved Mach-Zehnder interferometer, and it was shown that the resulting nonlinear index coefficient cannot be correctly described with the usual cubic model.
183 citations
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TL;DR: Mycoplasmas typically have a number of distinct lipoproteins anchored on the outer face of the plasma membrane that have a potent modulin activity and are preferential targets of the host immune response.
183 citations
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TL;DR: Sulcal extraction and assisted labeling (SEAL) is implemented to automatically extract the two-dimensional surface ribbons that represent the median axis of cerebral sulci and to neuroanatomically label these entities to extract statistical information about both the spatial and the structural composition of the cerebral cortical topography.
Abstract: Systematic mapping of the variability in cortical sulcal anatomy is an area of increasing interest which presents numerous methodological challenges. To address these issues, the authors have implemented sulcal extraction and assisted labeling (SEAL) to automatically extract the two-dimensional (2-D) surface ribbons that represent the median axis of cerebral sulci and to neuroanatomically label these entities. To encode the extracted three-dimensional (3-D) cortical sulcal schematic topography (CSST) the authors define a relational graph structure composed of two main features: vertices (representing sulci) and arcs (representing the relationships between sulci). Vertices contain a parametric representation of the surface ribbon buried within the sulcus. Points on this surface are expressed in stereotaxic coordinates (i.e., with respect to a standardized brain coordinate system). For each of these vertices, the authors store length, depth, and orientation as well as anatomical attributes (e.g., hemisphere, lobe, sulcus type, etc.). Each are stores the 3-D location of the junction between sulci as well as a list of its connecting sulci. Sulcal labeling is performed semiautomatically by selecting a sulcal entity in the CSST and selecting from a menu of candidate sulcus names. In order to help the user in the labeling task, the menu is restricted to the most likely candidates by using priors for the expected sulcal spatial distribution. These priors, i.e., sulcal probabilistic maps, were created from the spatial distribution of 34 sulci traced manually on 36 different subjects. Given these spatial probability maps, the user is provided with the likelihood that the selected entity belongs to a particular sulcus. The cortical structure representation obtained by SEAL is suitable to extract statistical information about both the spatial and the structural composition of the cerebral cortical topography. This methodology allows for the iterative construction of a successively more complete statistical models of the cerebral topography containing spatial distributions of the most important structures, their morphometrics, and their structural components.
183 citations
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TL;DR: In this article, the adsorbents were characterized and their performance for fluoride removal from aqueous solution was evaluated, and the results showed that aluminum and iron oxides were well dispersed into the porous charcoals.
183 citations
Authors
Showing all 18470 results
Name | H-index | Papers | Citations |
---|---|---|---|
Philippe Froguel | 166 | 820 | 118816 |
Bart Staels | 152 | 824 | 86638 |
Yi Yang | 143 | 2456 | 92268 |
Geoffrey Burnstock | 141 | 1488 | 99525 |
Shahrokh F. Shariat | 118 | 1637 | 58900 |
Lutz Ackermann | 116 | 669 | 45066 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Elliott H. Lieb | 107 | 512 | 57920 |
Fu-Yuan Wu | 107 | 367 | 42039 |
Didier Sornette | 104 | 1295 | 44157 |
Stefan Hild | 103 | 452 | 68228 |
Pierre I. Karakiewicz | 101 | 1207 | 40072 |
Philippe Dubois | 101 | 1098 | 48086 |
François Bondu | 100 | 440 | 69284 |
Jean-Michel Savéant | 98 | 517 | 33518 |