University of Lorraine

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.

Clinical characteristics, management and outcome of COVID-19-associated immune thrombocytopenia: a French multicentre series.

Abstract: The causes of secondary immune thrombocytopenia (ITP), which account for approximately 18 to 20% of all adult ITP cases, include some viral infections (Cines et al, 2009; Moulis et al, 2014). Indeed, ITP can be triggered by or associated with many viruses including hepatitis C virus, human immunodeficiency virus, cytomegalovirus, Epstein-Barr virus and others like severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) (Boyer Chammard et al, 2017; Tanaka et al, 2003; Yang et al, 2005; Cines et al, 2009). Among the suspected mechanisms, antibodies directed against virus glycoproteins may cross-react with platelet surface integrins like GPIIb/IIIa or GPIb-IX-V (Assinger, 2014).

Lattice Boltzmann model for Coulomb-driven flows in dielectric liquids.

Abstract: In this paper, we developed a unified lattice Boltzmann model (LBM) to simulate electroconvection in a dielectric liquid induced by unipolar charge injection. Instead of solving the complex set of coupled Navier-Stokes equations, the charge conservation equation, and the Poisson equation of electric potential, three consistent lattice Boltzmann equations are formulated. Numerical results are presented for both strong and weak injection regimes, and different scenarios for the onset and evolution of instability, bifurcation, and chaos are tracked. All LBM results are found to be highly consistent with the analytical solutions and other numerical work.

Rheological and electrical percolation thresholds of carbon nanotube/polymer nanocomposites

Abstract: Percolation thresholds of multiwalled carbon nanotube/polystyrene (MWCNT/PS) nanocomposites (NC) were determined by rheology and electrical conductivity. The percolation threshold found by electrical conductivity was 0.5% carbon nanotubes (CNT) and that by mechanical spectroscopy and relaxation measurements was 0.9% CNT. These results together with those reported in the literature show several types of percolation thresholds, depending on the average filler–filler (CNT and/or aggregates) distance in a polymer matrix. A distance close to polymer gyration radius corresponds to a “soft” rheological threshold (PC rheosoft). Close contacts between fillers giving rise to a conductive path corresponds to an electrical threshold (PC elec). At high filler concentration, fillers form a network, corresponding to a “rigid” rheological threshold (PC rheorigid). These thresholds depend on the filler content and follow the order: PC elecsoft < PC elec < PC rheorigid. POLYM. ENG. SCI., 2012. © 2012 Society of Plastics Engineers