Revisiting Science and Literature: Chateaubriand’s Ecological Discourse

Seemingly, science and literature don't have anything in common. Actually, fields such as medicine and ecology have maintained a close relationship with literature, this perhaps because they share the same humanistic values. This article examines this relationship, and relies on Chateaubriand's works as a writer and his deeds as a politician to explain how the ecology of forests inherited from a long aristocratic tradition which continued to exist during the French Revolution, and allowed the reforestation of France from 1827 on

Locally optimal unstructured finite element meshes in 3 dimensions

This paper investigates the adaptive finite element solution of a general class of variational problems in three dimensions using a combination of node movement, edge swapping, face swapping and node insertion. The adaptive strategy proposed is a generalization of previous work in two dimensions and is based upon the construction of a hierarchy of locally optimal meshes. Results presented, both for a single equation and a system of coupled equations, suggest that this approach is able to produce better meshes of tetrahedra than those obtained by more conventional adaptive strategies and in a relatively efficient manner

The Daguerreotype at the Crossroads of an Iconoclast Protestantism and an Iconophile Catholicism

The American attitude towards the news technics of visual representation in the Nineteenth century deserves to be compared to the French attitude because these attitudes are not only different but they also reveal the distinctive features which characterize both countries. I will therefore offer a survey of these attitudes and an explanation for their difference. My analysis will show that the source of this difference may come (1) from the antic opposition between the Aristotelian iconophilia and the Platonic iconophobia; (2) from the resurgence of this opposition during the famous “Querelle des Images” and later during the Reformation and Counter-Reformation; (3) from the fact that, from the Schism to the Nineteenth century on, this opposition became a tidal wave which never stopped to develop

Chateaubriand et la vanité : varietas ou pari pascalien ?

Chateaubriand a produit une œuvre paradoxale : il fut accusé de vanité bien qu’il ait combattu sans relâche la vanité ; il employa le terme de vanité sous toutes ses acceptions, cela contrairement à ses contemporains ou ses prédécesseurs, Retz et Rousseau. D’où ces questions : doit-on réduire son œuvre à une vaine ποικιλíα, un exercice de rhétorique égocentrique procédant du miroitement et de la profusion, ou doit-on considérer son auteur comme un moraliste, continuateur de Pascal et donc un « monstre incompréhensible » à son siècle

Tetrahedral mesh improvement by shell transformation

Existing flips for tetrahedral meshes simply make a selection from a few possible configurations within a single shell (i.e., a polyhedron that can be filled up with a mesh composed of a set of elements that meet each other at one edge), and their effectiveness is usually confined. A new topological operation for tetrahedral meshes named shell transformation is proposed. Its recursive callings execute a sequence of shell transformations on neighboring shells, acting like composite edge removal transformations. Such topological transformations are able to perform on a much larger element set than that of a single flip, thereby leading the way towards a better local optimum solution. Hence, a new mesh improvement algorithm is developed by combining this recursive scheme with other schemes, including smoothing, point insertion and point suppression. Numerical experiments reveal that the proposed algorithm can well balance some stringent and yet sometimes even conflict requirements of mesh improvement, i.e., resulting in high-quality meshes and reducing computing time at the same time. Therefore, it can be used for mesh quality improvement tasks involving millions of elements, in which it is essential not only to generate high-quality meshes, but also to reduce total computational time for mesh improvement

Domain decomposition approach for parallel improvement of tetrahedral meshes

Presently, a tetrahedral mesher based on the Delaunay triangulation approach may outperform a tetrahedral improver based on local smoothing and flip operations by nearly one order in terms of computing time. Parallelization is a feasible way to speed up the improver and enable it to handle large-scale meshes. In this study, a novel domain decomposition approach is proposed for parallel mesh improvement. It analyses the dual graph of the input mesh to build an inter-domain boundary that avoids small dihedral angles and poorly shaped faces. Consequently, the parallel improver can fit this boundary without compromising the mesh quality. Meanwhile, the new method does not involve any inter-processor communications and therefore runs very efficiently. A parallel pre-processing pipeline that combines the proposed improver and existing parallel surface and volume meshers can prepare a quality mesh containing hundreds of millions of elements in minutes. Experiments are presented to show that the developed system is robust and applicable to models of a complication level experienced in industry

Privacy-preserving dataset combination and Lasso regression for healthcare predictions

Background: Recent developments in machine learning have shown its potential impact for clinical use such as risk prediction, prognosis, and treatment selection. However, relevant data are often scattered across different stakeholders and their use is regulated, e.g. by GDPR or HIPAA. As a concrete use-case, hospital Erasmus MC and health insurance company Achmea have data on individuals in the city of Rotterdam, which would in theory enable them to train a regression model in order to identify high-impact lifestyle factors for heart failure. However, privacy and confdentiality concerns make it unfeasible to exchange these data. Methods: This article describes a solution where vertically-partitioned synthetic data of Achmea and of Erasmus MC are combined using Secure Multi-Party Computation. First, a secure inner join protocol takes place to securely determine the identifiers of the patients that are represented in both datasets. Then, a secure Lasso Regression model is trained on the securely combined data. The involved parties thus obtain the prediction model but no further information on the input data of the other parties. Results: We implement our secure solution and describe its performance and scalability: we can train a prediction model on two datasets with 5000 records each and a total of 30 features in less than one hour, with a minimal difference from the results of standard (non-secure) methods. Conclusions: This article shows that it is possible to combine datasets and train a Lasso regression model on this combination in a secure way. Such a solution thus further expands the potential of privacy-preserving data analysis in the medical domain

Unsound Seeds

With this image of a curtain hiding and at the same time heightening some terrible secret, Max Kalbeck began his review of the first Viennese performance of Richard Strauss’s Salome. Theodor W. Adorno picked up the image of the curtain in the context of Strauss’s fabled skill at composing non-musical events, when he identified the opening flourish of Strauss’s Salome as the swooshing sound of the rising curtain. If this is so, the succès de scandale of the opera was achieved, in more than one sense, as soon as the curtain rose at Dresden’s Semperoper on 10 December 1905. Critics of the premiere noted that the opera set ‘boundless wildness and degeneration to music’; it brought ‘high decadence’ onto the operatic stage; a ‘composition of hysteria’, reflecting the ‘disease of our time’, Salome is ‘hardly music any more’.The outrage did not end there

Vocal Culture in the Age of Laryngoscopy

For several months beginning in 1884, readers of Life, Science, Health, the Atlantic Monthly and similar magazines would have encountered half-page advertisements for a newly patented medical device called the ‘ammoniaphone’ (Figure 2.1). Invented and promoted by a Scottish doctor named Carter Moffat and endorsed by the soprano Adelina Patti, British Prime Minister William Gladstone and the Princess of Wales, the ammoniaphone promised a miraculous transformation in the voices of its users. It was recommended for ‘vocalists, clergymen, public speakers, parliamentary men, readers, reciters, lecturers, leaders of psalmody, schoolmasters, amateurs, church choirs, barristers, and all persons who have to use their voices professionally, or who desire to greatly improve their speaking or singing tones’. Some estimates indicated that Moffat sold upwards of 30,000 units, yet the ammoniaphone was a flash in the pan as far as such things go, fading from public view after 1886