Scientific Publications of the University of Toulouse II Le Mirail
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The Developmental Eye Movement Test as a Screening Tool for Reading Difficulties: Insights From a Large-Scale Study in French Schoolchildren
No full textInternational audienceBackground: Efficient visual information processing and cognitive control of saccadic eye movements are critical for reading acquisition in early school. Identifying children at risk of reading difficulties requires reliable assessment tools that can be implemented on a large scale. The Developmental Eye Movement (DEM) test provides an indirect measure of the efficiency of visuo-attentional processes related to eye movements in a simulated reading task. Purpose, Research Design, and Study Sample: To support its use as a screening tool, we conducted a normative validation of the DEM-test in a large, unselected cohort of 1,059 French school-aged children (6–11 years old). Data Collection and Analysis: Age- and grade-specific norms (means and percentile ranks) were established for vertical time, adjusted horizontal time, and error rates. Additionally, we examined its sensitivity to reading difficulties in 46 poor readers and 56 dyslexic children. Results: The results showed a significant developmental progression for all DEM-test indices across age groups, a correlation between DEM-test scores and reading performance (measured by the Alouette test), and significant differences between French, American, and Italian normative data, confirming the influence of language on DEM-test performance. Our findings also revealed a high prevalence of visuo-attentional deficits in poor readers and children with dyslexia. Moreover, the DEM test demonstrated high sensitivity in identifying children at risk of reading difficulties, whether due to a specific reading disorder or a general reading delay. Conclusions: This study provides French-specific normative data for the DEM-test and highlights its potential for large-scale implementation in educational settings. Our findings support using the DEM-test as a quick, non-invasive, and early screening tool to detect reading problems at their onset. By facilitating early identification, this proactive approach could help reduce educational inequalities and guide public health and education policies
Déformations des Notions d’Hyperbolicité non-Kählérienne et Modifications de Variétés équilibrées dégénérées
No full textWe study deformation properties of balanced hyperbolicity, with a particular emphasis on degenerate balanced manifolds and their behavior under smooth modifications. From a different perspective, we introduce two new notions of hyperbolicity for compact complex non-Kähler manifolds X of complex dimension dim_C X = n, in general degree 2p with 1 ≤ p ≤ n -1. These notions are motivated by the work of D. Popovici and H. Kasuya on partial hyperbolicity in arbitrary degree and by the work of F. Haggui and S. Marouani on p-Kähler hyperbolicity. The first notion, called p-SKT hyperbolicity, extends SKT hyperbolicity and Gauduchon hyperbolicity to degree 2p. Similarly, the second notion, called p-HS hyperbolicity, generalizes the notion of strongly Gauduchon hyperbolicity introduced by Y. Ma.We then analyze the relationships between these analytic notions and geometric notions of hyperbolicity, namely Brody/Kobayashi hyperbolicity and p-cyclic hyperbolicity in degree 2p for 2 ≤ p ≤ n -1. In addition, we study the behavior of p-HS hyperbolicity and p-Kähler hyperbolicity under holomorphic deformations, establishing openness results for these properties.Nous étudions les propriétés de déformation de l’hyperbolicité équilibrée, en mettant l’accent sur les variétés équilibrées dégénérées et sur leur comportement sous des modifications lisses.Dans une perspective différente, nous introduisons deux nouvelles notions d’hyperbolicité pour les variétés complexes compactes non-Kählériennes X de dimension complexe dim_C X=n, en degré général 2p avec 1≤p≤n−1. Ces notions sont motivées par les travaux de D. Popovici et H. Kasuya sur l’hyperbolicité partielle en degré arbitraire, ainsi que par ceux de F. Haggui et S. Marouani sur l’hyperbolicité p-Kählérienne. La première notion, appelée hyperbolicité p-SKT, étend l’hyperbolicité SKT et l’hyperbolicité de Gauduchon au degré 2p. De même, la seconde notion, appelée hyperbolicité p-HS, généralise la notion d’hyperbolicité fortement gauduchonienne introduite par Y. Ma.Nous analysons ensuite les relations entre ces notions analytiques et des notions géométriques d’hyperbolicité, à savoir l’hyperbolicité de Brody/Kobayashi et l’hyperbolicité p-cyclique en degré 2p pour 2≤p≤n−1. En outre, nous étudions le comportement de l’hyperbolicité p-HS et de l’hyperbolicité p-Kählérienne sous déformations holomorphes, et établissons des résultats d’ouverture pour ces propriétés
Passivity Preservation in Interconnections of Linear Cone Complementarity Systems with State Jumps
No full textInternational audienceThis article is largely concerned with generic interconnections of a class of passive nonsmooth nonlinear dynamical systems, namely linear cone complementarity systems (LCCS). We stipulate that each subsystem admits a positive definite storage function that characterizes the passivity of an underlying nonsmooth mapping. We provide algebraic criteria in terms of these individual storage functions to find the storage function which guarantees passivity of the overall interconnected system. State jumps in the interconnections are studied in detail. Examples from dynamic feedback control, switching DAEs and nonsmooth circuits are included as an illustration of the theoretical developments
WHITENING SPHERICAL GAUSSIAN MIXTURES IN THE LARGE-DIMENSIONAL REGIME
No full textAccepted for publication at ICASSP 2026Whitening is a classical technique in unsupervised learning that can facilitate estimation tasks by standardizing data. An important application is the estimation of latent variable models via the decomposition of tensors built from high-order moments. In particular, whitening orthogonalizes the means of a spherical Gaussian mixture model (GMM), thereby making the corresponding moment tensor orthogonally decomposable, hence easier to decompose. However, in the large-dimensional regime (LDR) where data are high-dimensional and scarce, the standard whitening matrix built from the sample covariance becomes ineffective because the latter is spectrally distorted. Consequently, whitened means of a spherical GMM are no longer orthogonal. Using random matrix theory, we derive exact limits for their dot products, which are generally nonzero in the LDR. As our main contribution, we then construct a corrected whitening matrix that restores asymptotic orthogonality, allowing for performance gains in spherical GMM estimation
Un œil numérique sur les cimes: Comment le non-invasif redéfinit la carte archéologique en montagne
No full textApport du Lidar HD de l'IGN et de la photogrammétrie par drone ✓ 23 années de prospection pédestres ✓ 882 structures inventoriées Apport du Lidar HD de l'IG
Campaigning across platforms: how party status, social profiles, and emotional tone shaped user engagement with French MPs during the 2022 presidential election
No full textInternational audienceThis article examines audience engagement with posts published by 387 French MPs on Facebook, Instagram, and Twitter during the 2022 presidential election (N = 35,348). Using a supervised machine learning method, we investigate how engagement varies according to MPs' political affiliation, social characteristics, post topics, and emotional tone. The findings reveal that party status shapes online visibility: posts from opposition MPs, particularly those from radical parties, consistently elicit higher engagement than those from the governing party, which tends to favor neutral and coordination-oriented messaging. Social underrepresentation also plays a role: younger, rural, and female MPs generate more engagement in specific contexts, yet these effects vary substantially across platforms. For instance, women and urban MPs receive more reactions on Twitter, whereas Facebook and Instagram favor rural MPs. These platform-dependent patterns suggest that audience engagement is shaped not only by asymmetries in political status and social background, but also by platform-specific affordances: Facebook and Instagram tend to reward locally embedded and coordination-oriented communication, particularly among younger and rural MPs, while Twitter amplifies adversarial rhetoric and politically polarizing content, especially among urban or radical actors
How Human Motion Prediction Quality Shapes Social Robot Navigation Performance in Constrained Spaces
No full textAccepted for ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2026 Conference as a full paper.International audienceMotivated by the vision of integrating mobile robots closer to humans in warehouses, hospitals, manufacturing plants, and the home, we focus on robot navigation in dynamic and spatially constrained environments. Ensuring human safety, comfort, and efficiency in such settings requires that robots are endowed with a model of how humans move around them. Human motion prediction around robots is especially challenging due to the stochasticity of human behavior, differences in user preferences, and data scarcity. In this work, we perform a methodical investigation of the effects of human motion prediction quality on robot navigation performance, as well as human productivity and impressions. We design a scenario involving robot navigation among two human subjects in a constrained workspace and instantiate it in a user study () involving two different robot platforms, conducted across two sites from different world regions. Key findings include evidence that: 1) the widely adopted average displacement error is not a reliable predictor of robot navigation performance and human impressions; 2) the common assumption of human cooperation breaks down in constrained environments, with users often not reciprocating robot cooperation, and causing performance degradations; 3) more efficient robot navigation often comes at the expense of human efficiency and comfort
Surrogate-based ensemble data assimilation for reducing uncertainty in large-eddy simulation of microscale pollutant dispersion
No full textInternational audienceBy capturing the physical complexity of the interactions between atmospheric flows and the built environment, Large-Eddy Simulations (LES) could provide detailed information for risk assessment and mitigation in case of environmental emergency. However, to account for LES uncertainties and cover the range of plausible scenarios in order to support decision making, it is necessary to go beyond deterministic simulation capability. This study introduces a novel ensemble-based data assimilation algorithm to correct the LES meteorological forcing and thereby improve LES spatial predictions of pollutant concentration by making use of available measurements. This approach is demonstrated through the MUST field-scale experiment. Results show that the ensemble smoother with multiple data assimilation (ESMDA) algorithm is a good candidate to address parameter interaction effects in the relationship between uncertain meteorological forcing and LES field quantities. This iterative algorithm is computationally feasible when the LES model is replaced with a machine learning-based surrogate model, from which robust ensemble statistics can be extracted. This surrogate-based data assimilation approach can then be used to examine observability in the system. Results show that the estimation outcome is highly sensitive to the design of the observation network, and that this sensitivity may be underestimated in idealized experiments. It is therefore important to use real data assimilation to optimize sensor placement and extract informative data for modeling, thus improving our ability to monitor accidental dispersion events
Introduction. Éclairages sur une histoire tronquée
No full textInternational audienceCet article contextualise l’objet d’étude : l’antiphilosophie sur le plan des études littéraires, en présente les enjeux et en précise l’actualité éditoriale tout en proposant une synthèse des études
(Re)lire Marmontel au XXIe siècle. Paradoxes et nuances d'une oeuvre influente
No full textInternational audiencePoursuivant les recherches fondatrices qui ont œuvré à la réhabilitation de Jean-François Marmontel (1723-1799), ce volume met au jour les paradoxes d’un auteur influent, qui joua un rôle fondamental dans la vie culturelle et artistique de la fin du XVIIIe siècle et dont les tiraillements sont caractéristiques de la seconde génération des Lumières. Aujourd’hui, la recherche de la mesure et de la délicatesse, propre à Marmontel, continue à nous parler