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Influence of finger movement direction on friction-induced vibrations and perception of textured surfaces
No full textInternational audienceMany factors can influence how we touch surfaces, where we adapt our finger exploration strategy to the task, material properties, and texture. We studied the influence of finger movement direction, i.e. anteroposterior or lateral, on friction-induced vibrations during touch and perceptual discrimination differences of spatial periods. Three experiments were carried out: two investigating the vibrations induced in the finger, during different sliding velocities and also in changing the investigated textile surfaces, finger angle, velocity, and normal force, as well as a third experiment investigating the perceptual discrimination of textured surfaces. We found that finger vibrations during moving touch were consistently larger in the anteroposterior dimension, especially for frequencies higher than 100Hz, regardless of the condition or surface. However, for frequencies below 60Hz, finger vibrations were smaller, similar or greater in the anteroposterior dimension depending on finger velocity, where the velocity equality threshold for movement direction effect was approximately 40mm/s. In terms of perception, small differences in spatial periods, i.e. 100 or 200µm, were better discriminated using lateral movements, while discrimination was significantly better using anteroposterior movements for larger spatial period differences, i.e. 300µm. These results can be explained by different psychometric curves for the movement direction, representing the response level relative to spatial period differences, where the slopes of the discrimination threshold differ between the anteroposterior and lateral directions. These results are discussed relative to the different vibrational behaviours in anteroposterior and lateral movements due to the influence of fingerprints and arm biomechanical behaviour
Aude Seigne, Una rete grande come il mondo
No full textAude Seigne, Una rete grande come il mondo, Firenze, Società editrice fiorentina, 2025, 192 p., ISBN 9788860327888Traduction collaborative du roman Une Toile large comme le monde d'Aude Seigne. La traduction a été faite dans le cadre d'un séminaire de traduction avec des étudiantes en double-diplome de la Licence CLE (Cultures littéraires européennes) de l'Université de Bologne et de l'UHA
Les incidences de l'action civile de l'employeur sur la responsabilité contractuelle du salarié
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Improving the enormous coercivity in Ba0.54Ca0.46Fe6.5Al5.5O19 M-type hexaferrite via annealing treatment, prepared by sol-gel auto-combustion method
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Surrogate-assisted metaheuristics for the facility location problem with distributed demands on network edges
No full textInternational audienceThis study aims to develop a time-efficient yet high-performance solution algorithm to address a facility location problem with uniformly distributed demand along the network edges. On the premise that demands are assigned to their closest open facilities, the optimal locations for opening facilities are determined such that the customers' aggregate traveling time is minimized. Since the closest facilities to the endpoints of any network edges may be different, each network edge may be decomposed into two segments, each assigned to its closest open facilities. The decision variables encompass the determination of both facility locations and positions of edge-decomposing points. Given the general NP-hardness of location problems and the additional complexity introduced by edge decomposition, solving the problem using metaheuristics would be inevitable. Nevertheless, metaheuristics often require a substantial number of function evaluations to attain desired results, incurring significant costs for such a computationally expensive problem. This becomes especially pronounced in scenarios where prompt results are essential or when the problem needs to be solved repeatedly. This study addresses this challenge by emphasizing the integration of well-established and cost-effective surrogate models with state-of-the-art metaheuristics. To assess the effectiveness of the proposed surrogate-assisted metaheuristics, experiments are conducted on several benchmark functions with varying sizes and specifications. The results are then compared to those obtained using the base metaheuristics. The findings indicate that the proposed surrogate-assisted solution methods determine high-quality solutions for all benchmark problems in significantly less computational time.</div
La forge minière du carreau Sainte-Barbe à Sainte-Marie-aux-Mines (XVIe s.)
No full textInternational audienceLa mine Sainte-Barbe se situe au cœur de l’Altenberg, secteur minier exploité sans discontinuer depuis la fin de la période carolingienne jusqu’à la guerre de Trente ans. Les vestiges d’une occupation polyphasée allant des XIe-XIIe siècles au XVIIIe siècle ont pu être repérés et fouillés sur son carreau (l’espace qui se déploie devant son porche). Ils documentent toute la chaîne opératoire de production du plomb argentifère, ainsi que l’habitat minier et des infrastructures d’assistance.Le XVIe siècle est marqué par une activité importante avec notamment la construction d’une forge à proximité immédiate de l’entrée de la mine. Le bâtiment de 9 x 5 m a été fouillé entre 2018 et 2022. La bonne conservation des niveaux d’occupation dans un ensemble clos a permis de bien comprendre les espaces de travail structurés autour de deux foyers. Les niveaux de sol témoignent tant des aménagements liés à la gestion des eaux d’infiltration et de l’eau nécessaire à l’activité que de l’activité de forge elle-même. Charbons et résidus paléo-métallurgiques ont pu être prélevés, offrant un aperçu des opérations réalisées, qui visaient à mettre en forme et réparer les outils des mineurs et les équipements de la mine.Les dimensions de l’atelier, sa situation ainsi que la quantité de déchets entrevus témoignent du rôle important de cette forge dans le contexte sainte-marien du XVIe siècle. Malgré le peu de données à propos de l’importance de l’exploitation souterraine de la mine Sainte-Barbe, il peut être avancé que les infrastructures de son carreau étaient utiles non seulement à son activité, mais également à d’autres exploitations situées à proximité. On peut ainsi porter la réflexion sur les relations qu’entretenaient les différentes concessions minières entre elles
Clay minerals formation in MgO-SiO2-H2O low temperature system by hydrothermal synthesis: A study in function of Mg/Si molar ratio and pH
No full textInternational audienceMagnesium only-phyllosilicates such as serpentines (1:1) and stevensite (2:1) do exist in nature but are not abundant in pure form, whereas synthesized materials can ensure higher purity. Clay mineral hydrothermal synthesis is quite easy to perform, however, the condensation reactions leading to the formation of these phyllosilicates and their precursors are not well understood. Such knowledge would allow to predict the synthesis outcome in case of variation of experimental parameters. This study reports a chemical reaction mechanism explaining the parameters that are determining the type of the formed clay mineral. After a detailed characterization of each obtained phase, it is shown that pH has a lower effect compared to Mg to Si molar ratio. Our results show that above pH 10 the mechanisms of lizardite and stevensite formation are similar with the same elementary units, but that the type of material obtained depends on the availability in excess of magnesium (formation of lizardite) or silicon (formation of stevensite).</div
Andréa Cristina Delaplace, Musées d’immigration : nouvelles muséographies, anciens paradigmes
No full textInternational audienceAndréa Cristina Delaplace, historienne de l’art spécialisée en muséologie et patrimoine, propose dans cet ouvrage, issu de sa thèse de doctorat, une étude comparative de trois musées consacrés à l’immigration en France, aux États-Unis et au Brésil. Elle examine le Musée national de l’histoire de l’immigration à Paris, l’Ellis Island Immigration Museum à New York, et le Museu da Imigração do Estado de São Paulo
DeepSCEM: A User‐Friendly Solution for Deep Learning‐Based Image Segmentation in Cellular Electron Microscopy
No full textInternational audienceABSTRACT Deep learning methods using convolutional neural networks are very effective for automatic image segmentation tasks with no exception for cellular electron micrographs. However, the lack of dedicated easy‐to‐use tools largely reduces the widespread use of these techniques. Here we present DeepSCEM, a straightforward tool for fast and efficient segmentation of cellular electron microscopy images using deep learning with a special focus on efficient and user‐friendly generation and training of models for organelle segmentation