149 research outputs found
Osteomorphological differences in the appendicular skeleton of Antidorcas marsupialis (Zimmerman, 1780) and Antidorcas bondi (Cooke & Wells, 1951) (Mammalia, Bovidae) with notes on the osteometry of Antidorcas bondi
No full textLes Geoffroy : une famille d’apothicaires parisiens
No full textThe Geoffroy : a family of Parisian apothecaries – The Geoffroy family, on six generations, counted seven apothecaries, three Paris aldermen ; four of its members belonged to the Royal Academy of Sciences. Some characters stand out of the crowd, apart from Étienne-François, the author of the
Table of Affinities, who has a special position in history of sciences, his father Matthieu François
who had the opportunity to meet Louis XIV many times, or his brother, Claude Joseph who was at the same time, an apothecary, a Paris alderman, an Academy member and a collector.La famille Geoffroy sur six générations compta sept maîtres apothicaires, trois échevins de Paris ; quatre de ses membres appartinrent à des titres divers à l’Académie des Sciences. Quelques personnalités sortent toutefois du lot, outre Étienne-François, l’auteur de la Table des Affinités, qui occupe une place dans l’histoire des sciences, son père Matthieu François qui eut l’occasion de rencontrer Louis XIV à plusieurs reprises, ou son frère, Claude Joseph, qui fut à la fois apothicaire, académicien, échevin et collectionneur.Lafont Olivier. Les Geoffroy : une famille d’apothicaires parisiens. In: Revue d'histoire de la pharmacie, 106e année, N. 404, 2019. pp. 533-542
Behavioral implementation
No full textImplementation theory assumes that participants' choices are rational, in the sense of being derived from the maximization of a contextindependent preference. The paper investigates implementation under complete information when the mechanism designer is aware that individuals suffer from cognitive biases that lead to violations of IIA, or cannot exclude the possibility of such irrational behavior
« La Pucelle d’Orléans apparue au Duc de Boukingan », Ou de la mémoire historique chez Geoffroy Gay
No full textThis article is the result of a research on the complex and somehow obscure figure of Geoffroy Gay. It offers the analysis of one of Gay's many pamphlets - "La Pucelle d'Orléans apparue au Duc de Boukingan" - showing the fundamental contribution of its author to the construction of the French historical memory
Python code for the individual-based simulations
No full textPython code for the individual-based simulations in the paper "Why cooperation is not running away", published in the Journal of Evolutionary Biology, 2019, by Félix Geoffroy, Nicolas Baumard and Jean-Baptiste André.
https://doi.org/10.1111/jeb.13508
If more details are needed on the code, please contact the first author of the publication at [email protected]
La mort de Caton; tragédie en cinq actes en vers
No full textPrinted under the name of Geoffroy, but in reality the work of Cubières.Mode of access: Internet
Axiomatizing the Harsanyi solution, the symmetric egalitarian solution and the consistent solution for NTU-games.
No full textBounded rationality and limited datasets: Testable implications, identifiability, and out-of-sample prediction
No full textTheories of bounded rationality are typically characterized over an exhaustive data set. This paper aims to operationalize some leading theories when the available data is limited, as is the case in most practical settings. How does one tell if observed choices are consistent with a theory of bounded rationality if the data is incomplete? What information can be identified about preferences? How can out-of-sample predictions be made? Our approach is contrasted with earlier attempts to examine bounded rationality theories on limited data, showing their notion of consistency is inappropriate for identifiability and out-of-sample prediction
The DALI dataset
No full text<p>The DALI dataset is a large Dataset of synchronised audio, lyrics and notes for the audio full-duration, with – its time-aligned lyrics and – its time-aligned notes (of the vocal melody). Lyrics are described according to four levels of granularity: notes (and textual information un- derlying a given note), words, lines and paragraphs. For each song, we also provide additional multimodal information such as genre, language, musician, album covers or links to video clips. </p>
<p> </p>
<p>Go to <a href="https://github.com/gabolsgabs/DALI">https://github.com/gabolsgabs/DALI</a> where you can find all the tools to work with the DALI dataset and a detailed description of how to use it.</p>
<p> </p>
<p>Cite the <a href="https://zenodo.org/record/1492443">paper</a>:</p>
<blockquote>
<pre>@inproceedings{meseguer2019dali,
title={Dali: A large dataset of synchronized audio, lyrics and notes, automatically created using teacher-student machine learning paradigm},
author={Meseguer-Brocal, Gabriel and Cohen-Hadria, Alice and Peeters, Geoffroy},
journal={arXiv preprint arXiv:1906.10606},
year={2019}
}
</pre>
</blockquote>
<p> </p>
<p>This research has received funding from the French National Research Agency under the contract ANR-16-CE23-0017-01 (WASABI project) </p>
High-throughput data mined prediction of inorganic compounds and computational discovery of new lithium-ion battery cathode materials
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2011.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from PDF version of thesis.Includes bibliographical references (p. 117-129).The ability to computationally predict the properties of new materials, even prior to their synthesis, has been made possible due to the current accuracy of modern ab initio techniques. In some cases, high-throughput computations can be used to create large data sets of potential compounds and their computed properties. However, regardless of the field of application, such a computational high-throughput approach faces a major problem: to be relevant, the properties need to be computed on compounds (i.e., stoichiometries and crystal structures) that will be stable enough to be synthesized. In this thesis, we address this compound prediction problem through a combination of data mining and high-throughput Density Functional Theory. We first describe a method based on correlations between crystal structure prototypes that can be used with a limited computational budget to search for new ternary oxides. In addition, for the treatment of sparser data regions such as quaternaries, a new algorithm based on the data mining of ionic substitutions is proposed and analyzed. The second part of this thesis demonstrates the application of this highthroughput ab initio computing technique to the lithium-ion battery field. Here, we describe a large-scale computational search for novel cathode materials with specific battery properties, which enables experimentalists to focus on only the most promising chemistries. Finally, to illustrate the potential of new compound computational discovery using this approach, a novel chemical class of cathode materials, the carbonophosphates, is presented along with synthesis and electrochemical results.by Geoffroy Hautier.Ph.D
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