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This work has been supported by European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement 813211 (POEMA); An ideal of polynomials is symmetric if it is closed under permutations of variables. We relate general symmetric ideals to the so called Specht ideals generated by all Specht polynomials of a given shape. We show a connection between the leading monomials of polynomials in the ideal and the Specht polynomials contained in the ideal. This provides applications in several contexts. Most notably, this connection gives information about the solutions of the corresponding set of equations. From another perspective, it restricts the isotypic decomposition of the ideal viewed as a representation of the symmetric group.

Communiqué de presse dans la newsletter n° 9 du 08/09/2020 publié sur le site intranet de INRAE de Dijon.; Il y a peu de temps, la population française vivait une période inédite : neuf semaines confinées à la maison. Des chercheurs du CSGA se sont intéressées à l'impact du confinement sur les habitudes alimentaires en déployant une vaste enquête auprès de 500 parents d'enfants de 3-11 ans.

Communication invitée au Workshop "low-dimensional thermoelectric nanomaterials", NANCY, FRANCE

Social research on public opinion has been affected by the recent deluge of new digital data on the Web, from blogs and forums to Facebook pages and Twitter accounts. This fresh type of information useful for mining opinions is emerging as an alternative to traditional techniques, such as opinion polls. Firstly, by building the state of the art of studies of political opinion based on Twitter data, this paper aims at identifying the relationship between the chosen data analysis method and the definition of political opinion implied in these studies. Secondly, it aims at investigating the feasibility of performing multiscale analysis in digital social research on political opinion by addressing the merits of several methodological techniques, from content-based to interaction-based methods, from statistical to semantic analysis, from supervised to unsupervised approaches. The end result of such an approach is to identify future trends in social science research on political opinion.; Des blogs et forums aux pages Facebook et comptes Twitter, le récent déluge des données numériques du Web a fortement affecté la recherche en sciences sociales. Cette nouvelle catégorie d’information, utile à l’extraction des opinions politiques, se présente comme une alternative aux techniques traditionnelles telles que les sondages. Premièrement, en réalisant un état de l’art des études de l’opinion s’appuyant sur les données Twitter, cet article vise à mettre en relation les méthodes d’analyse utilisées dans ces études et les définitions de l’opinion politique qui y sont suggérées. Deuxièmement, cet article étudie la faisabilité de réaliser des analyses multi-échelles en sciences sociales concernant l’étude de l’opinion politique en exposant les mérites de plusieurs méthodes, allant des méthodes orientées contenus aux méthodes orientées interactions, de l’analyse statistique à l’analyse sémantique, des approches supervisées aux approches non-supervisées. Le résultat de notre démarche est d’ainsi identifier les tendances futures de la recherche en sciences sociales concernant l’étude de l’opinion politique.

Givaro main features are implementations of the basic arithmetic of many mathematical entities: Primes fields, Extensions Fields, Finite Fields, Finite Rings, Polynomials, Algebraic numbers, Arbitrary precision integers and rationals (C++ wrappers over gmp), fixed precision integers. It also provides data-structures and templated classes for the manipulation of basic algebraic objects, such as vectors, matrices, univariate polynomials (and therefore recursive multivariate). It contains different program modules and is fully compatible with the FFLAS-FFPACK and LinBox linear algebra libraries.

PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number of neuromorphic hardware systems.Home page: http://neuralensemble.org/PyNN/Documentation: http://neuralensemble.org/docs/PyNN/Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensembleBug reports: https://github.com/NeuralEnsemble/PyNN/issuesThis is version 0.9.6. of PyNN

Presentation internal to the lab unit members.; Doctoral; Scale free dynamics and scale invariance are universal characteristics of complex systems in nature. 1/f or long-range temporal correlations or pink noise is also a self-generated/correlated brain noise that coexists with periodic brain oscillations in a non predominant temporal fashion.For a long time this kind of noise has been ignored in experimental manipulations or analyses because thought to be the expression of instrumental noise. Nowadays, instead, recent evidence speaks in favour of the functional significance of the 1/f and its spatiotemporal organisation at different levels. However, further investigation is needed in order to unveil the relationship between each specific 1/f noise (across individuals, behavioural tasks, across different natural phenomena…).Outline of the lecture:1. Power-law distributions in nature2. Types of noise3. 1/f as a signature of complexity4. Debate between brain oscillations and noise5. New perspectives on 1/f: functional significance and temporal organisation

fairgraph is an experimental Python library for working with metadata in the HBP/EBRAINS Knowledge Graph, with a particular focus on data reuse, although it is also useful in metadata registration/curation. This is v0.5.1 of fairgraph.

Python code to simulate formose reaction in osmotically coupled droplets, and associated data, related to the article "Emergent fitness and ecological dynamics of compartmentalised autocatalytic chemical reactions" by Heng Lu, Alex Blokhuis, Rebecca Turk-MacLeod, Jayaprakash Karuppusamy, Andrea Franconi, Gabrielle Woronoff, Cyrille Jeancolas, Afshin Abrishamkar, Estelle Loire, Fabien Ferrage, Philippe Pelupessy, Ludovic Jullien, Eörs Szathmary, Philippe Nghe and Andrew. D. Griffiths This software is distributed under the Creative Commons International 4.0 License.