Institution
University of Lorraine
Education•Nancy, France•
About: University of Lorraine is a education organization based out in Nancy, France. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 11942 authors who have published 25010 publications receiving 425227 citations. The organization is also known as: Lorraine University.
Papers published on a yearly basis
Papers
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TL;DR: This review discusses the methods of enzymatic functionalization of four well-known polysaccharides, chitosan, cellulose, pectin and starch, and the enzymes implicated in the modification such as laccases, peroxidases lipases, tyrosinases, and transglutaminases.
146 citations
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TL;DR: An extensive overview of TREM‐1 in non‐infectious diseases, with the focus on the therapeutic potential of Trem‐1 intervention strategies herein, and a functional enrichment analysis of T REM‐1 signaling pathway and potential TREM-1 ligands in these diseases, obtained via in silico approach.
146 citations
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TL;DR: This work is studying an approach to the underlying multi-relational data mining (mrdm) problem, which relies on formal concept analysis (fca) as a framework for clustering and classification, and describes implementations of rca and list applications to problems from software and knowledge engineering.
Abstract: The processing of complex data is admittedly among the major concerns of knowledge discovery from data (kdd). Indeed, a major part of the data worth analyzing is stored in relational databases and, since recently, on the Web of Data. This clearly underscores the need for Entity-Relationship and rdf compliant data mining (dm) tools. We are studying an approach to the underlying multi-relational data mining (mrdm) problem, which relies on formal concept analysis (fca) as a framework for clustering and classification. Our relational concept analysis (rca) extends fca to the processing of multi-relational datasets, i.e., with multiple sorts of individuals, each provided with its own set of attributes, and relationships among those. Given such a dataset, rca constructs a set of concept lattices, one per object sort, through an iterative analysis process that is bound towards a fixed-point. In doing that, it abstracts the links between objects into attributes akin to role restrictions from description logics (dls). We address here key aspects of the iterative calculation such as evolution in data description along the iterations and process termination. We describe implementations of rca and list applications to problems from software and knowledge engineering.
146 citations
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TL;DR: Investigation of whether the three bee groups typically targeted by agri-environmental schemes differ in the way they use those semi-natural habitats relative to common mass-flowering crops in an intensive agricultural farming system finds a clear segregation pattern in the use of floral resources between honey bees and wild bees.
146 citations
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TL;DR: In this paper, the authors demonstrate all-optical magnetization switching for different TbxCo1-x ferrimagnetic alloy composition and demonstrate alloptical switching for films with anisotropy fields reaching 6 T corresponding to anisotropic constants of 3x106 ergs/cm3.
Abstract: Magnetization reversal using circularly polarized light provides a new way to control magnetization without any external magnetic field and has the potential to revolutionize magnetic data storage. However, in order to reach ultra-high density data storage, high anisotropy media providing thermal stability are needed. Here, we evidence all-optical magnetization switching for different TbxCo1-x ferrimagnetic alloy composition and demonstrate all-optical switching for films with anisotropy fields reaching 6 T corresponding to anisotropy constants of 3x106 ergs/cm3. Optical magnetization switching is observed only for alloys which compensation temperature can be reached through sample heating.
146 citations
Authors
Showing all 12161 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jonathan I. Epstein | 138 | 1121 | 80975 |
Peter Tugwell | 129 | 948 | 125480 |
David Brown | 105 | 1257 | 46827 |
Faiez Zannad | 103 | 839 | 90737 |
Sabu Thomas | 102 | 1554 | 51366 |
Francis Martin | 98 | 733 | 43991 |
João F. Mano | 97 | 822 | 36401 |
Jonathan A. Epstein | 94 | 299 | 27492 |
Muhammad Imran | 94 | 3053 | 51728 |
Laurent Peyrin-Biroulet | 90 | 901 | 34120 |
Athanase Benetos | 83 | 391 | 31718 |
Michel Marre | 82 | 444 | 39052 |
Bruno Rossion | 80 | 337 | 21902 |
Lyn March | 78 | 367 | 62536 |
Alan J. M. Baker | 76 | 234 | 26080 |