Jean-Luc Falcone

This paper assesses whether turning written French poetry into a speech-oriented representation can improve the performance of authorship attribution methods. To this end, we develop a phonetic transcription system to automatically convert poems from six authors – including the disputed Illuminations of Rimbaud – into phonetic transcriptions, and adapt existing tools to ingest and process phonetic data. The output of this grapheme-to-phoneme task is then enriched with minimal prosodic cues, namely the creation of synthetic tokens based on punctuation and the addition of basic French liaisons. Using the same trigram features and classifier across all representations, we observe that moving from orthographic to phonetic transcriptions with a modest prosodic enrichment raises the F-score from 0.89 to 0.95, while reducing inter-author confusion. These results suggest that even lightweight speech-based features, produced with reproducible rules and open tools, can meaningfully enhance stylometric analysis of French verse and warrant further study for contested texts.

A modern technique for the treatment of cerebral aneurysms involves insertion of a flow diverter stent. Flow stagnation, produced by the fine mesh structure of the diverter, is thought to promote blood clotting in an aneurysm. However, apart from its effect on flow reduction, the insertion of the metal device poses the risk of occlusion of a parent artery. One strategy for avoiding the risk of arterial occlusion is the use of a device with a higher porosity. To aid the development of optimal stents in the view point of flow reduction maintaining a high porosity, we used lattice Boltzmann flow simulations and simulated annealing optimization to investigate the optimal placement of stent struts. We constructed four idealized aneurysm geometries that resulted in four different inflow characteristics and employed a stent model with 36 unconnected struts corresponding to the porosity of 80%. Assuming intracranial flow, steady flow simulation with Reynolds number of 200 was applied for each aneurysm. Optimization of strut position was performed to minimize the average velocity in an aneurysm while maintaining the porosity. As the results of optimization, we obtained nonuniformed structure as optimized stent for each aneurysm geometry. And all optimized stents were characterized by denser struts in the inflow area. The variety of inflow patterns that resulted from differing aneurysm geometries led to unique strut placements for each aneurysm type.

In several disciplines, a multiscale approach is being used to model complex natural processes yet a principled background to multiscale modeling is not clear. Additionally, some multiscale models requiring distributed resources to be computed in an acceptable timeframe, while no standard framework for distributed multiscale computing is place. In this paper a principled approach to distributed multiscale computing is taken, formalizing multiscale modeling based on natural processes. Based on these foundations, the Multiscale Modeling Language (MML) is extended as a clear, general, formal, and high-level means to specify scales and interactions in, and as a guide to a uniform approach to crystalize, communicate, develop and execute a multiscale model. With an MML specification, a multiscale model can be analyzed for scheduling or deadlock detection using a task graph. The potential of this method is shown by applying it to two selected applications in nano materials and biophysics.