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Planification des ressources humaines dans un atelier textile : Une heuristique pour le flexible job shop avec ressources doubles
No full textInternational audienceNous étudions le cas d’un Flexible Job-Shop avec ressources doubles (DRC-FJSSP) dans une industrie textile. Les jobs sont divisés en tâches qui doivent être réalisées en respectant la séquence d’opérations. Une opération nécessite à la fois l’affectation d’un opérateur qualifié et d’une machine compatible. L’objectif est de minimiser le temps d’inactivité des opérateurs ainsi que de minimiser les retards de livraison.Ce travail vise à surmonter ces limitations en proposant une heuristique efficace minimisant les retards de livraison tout en permettant d’obtenir une meilleure occupation des ressources c’est à dire en minimisant les temps d’inactivités des opérateurs
Luciole: The Design Story of a Serious Game for Learning English Created for (and with) Children
No full textInternational audienceIn France, elementary school curriculum mandates 54 hours of foreign language instruction for pupils, typically English. However, many teachers feel linguistically insecure. Addressing this, we propose Luciole, a serious game designed to introduce 6 to 8-year-olds to English. Focused on oral comprehension, Luciole allows for autonomous use, facilitating differentiated activities. Luciole was developed through an iterative and inclusive series of design-development-user test-feedback analysis-redesign. Throughout this process, various methods were employed, including participatory workshops with children in the context of real classroom sessions. This article, through the description of the various design stages and successive prototypes, seeks to clarify a number of more general design issues related to serious learning games intended for use in the classroom, by pupils new to English, independently, and under the supervision of their teacher, who may be unfamiliar with the use of digital tools for learning
The norm functor over schemes
No full textInternational audienceWe construct a globalization of Ferrand's norm functor over rings which generalizes it to the setting of a finite locally free morphism of schemes T → S of constant rank. It sends quasi-coherent modules over T to quasicoherent modules over S. These functors restrict to the category of quasicoherent algebras. We also assemble these functors into a norm morphism from the stack of quasi-coherent modules over a finite locally free of constant rank extension of the base scheme into the stack of quasi-coherent modules. This morphism also restricts to the analogous stacks of algebras. Restricting our attention to finite étale covers, we give a cohomological description of the norm morphism in terms of the Segre embedding. Using this cohomological description, we show that the norm gives an equivalence of stacks of algebras A 2 1 ≡ D 2 , akin to the result shown in The Book of Involutions
Impacts of post-disaster restoration projects on communities and their environment through the landscape
No full textInternational audienc
Coexistence of Two Equilibrium Configurations in 2D turbulence
No full textInternational audienceIn the past, two families of statistical mechanics approaches have been applied to the two-dimensional Euler equations. The first one is formulated in Fourier space and considers the Galerkin truncated dynamics. The other one is formulated in physical space and considers either point-vortices or coarse-grained vorticity. We show that in a Galerkin truncated system both methods describe a part of the flow. A condensate can be identified assuming that it can be characterized by an unspecified functional relation between the vorticity and the stream-function. It is shown, a posteriori, that this function is a hyperbolic sine relation, as predicted by point-vortex statistical mechanics. The energy spectrum associated with the condensate is well described by an exponential function and the tails of the probability density function of the vorticity are following a power law. Analytical arguments to explain these observations are proposed. After removing the condensate, the remaining field can be described by Fourier-statistical mechanics
Exploring Brain Imaging and Genetic Risk Factors in Different Progression States of Alzheimer's Disease Through OSnetNMF-Based Methods
No full textInternational audienceAlzheimer's disease (AD) is a neurodegenerative disease with multiple factors for which there is currently no effective treatment. Mild cognitive impairment (MCI) is an early disease that may progress to AD. Multimodal imaging genetics can integrate imaging data and genetic data to gain a deeper understanding of the progression of complex diseases and the individual variations. Exploring the pathogenic mechanisms from normal progression to MCI and ultimately leading to AD will contribute to understanding the pathogenesis of AD and providing insights for early diagnosis. As an effective joint feature extraction and dimensionality reduction method, non-negative Matrix Factorization (NMF) and its improved methods, especially the netNMF method, have been widely used in the field of multimodal analysis for mining brain imaging and genetics data by considering the interactions between different features. However, many of these methods overlook the importance of the coefficient matrix and do not address issues related to data accuracy and feature redundancy. To cope with this problem, we propose an orthogonal sparse network nonnegative matrix factorization (OSnetNMF) algorithm by adding orthogonal and sparse constraints based on netNMF. By establishing linear relationships between structural magnetic resonance imaging (sMRI) and corresponding gene expression data and with orthogonal and sparsity constraints as conditions, the proposed OSnetNMF is able to reduce the redundancy of features and decrease the correlation between the data, resulting in more accurate and reliable biomarker extraction. Experiments showed that the OSnetNMF algorithm allows us to accurately identify the risk regions of interest (ROIs) and key genes that characterize the progression of AD, as well as some obvious trends of ROI pairs, such as l4thVen-HIF1A, rBst-MPO, rBst-PTK2B, etc. Meanwhile, comparative experiments showed that the proposed algorithm can find more disease-related biomarkers with better reconstruction performance.</div
Journée thématique du GDR RSD : pratiques expérimentales de la communauté systèmes et réseaux
No full textA New Low-Cost Compact Antenna for the 2.45 and 5.8 GHz ISM Bands
No full textThis paper presents the design of a high-performance dual-band antenna for industrial, scientific, and medical (ISM) band applications. The proposed prototype consists of a low-cost patch antenna, 40 mm × 24 mm in size (i.e., 0.36λ0 × 0.19λ0, with λ0 the wavelength corresponding to the low frequency), with a relatively wideband for both operational bands (up to 140 MHz at 2.45 GHz and 510 MHz at 5.8 GHz), and a radiation efficiency of over 90%. The antenna has a quasi-omnidirectional radiation pattern with gains of 2.41 dBi and 5.22 dBi at 2.45 GHz and 5.8 GHz, respectively. The design methodology is detailed and illustrated by simulation results showing the optimization steps and the characteristics associated with the antenna. Experimental results based on a fabricated prototype are presented and compared with simulation results from the design stage. Finally, the proposed antenna prototype is also compared with similar antennas available in the literature
A protein corona modulates the function of mineralization-competent matrix vesicles
No full textInternational audienceAbstract Mineralizing cells release a special class of extracellular vesicles known as matrix vesicles (MV), crucial for bone mineralization. Following their release, MV anchor to the extracellular matrix (ECM), where their highly specialized enzymatic machinery facilitates the formation of seed mineral within the MV’s lumen, subsequently releasing it onto the ECM. However, how MV propagate mineral onto the collagenous ECM remains unclear. In this study, we address these questions by exploring the “protein corona” paradigm whereby nanoparticles entering a biological milieu become cloaked by a corona of soluble proteins modifying their biological functions. We isolated native MV from the growth plates of chicken embryos. After removing the protein corona from the native MV using high ionic strength buffer, we obtained shaved MV. Reconstituted MVs were produced by incubating shaved MV with the removed protein corona constituents. Our results show that both the removal and reconstitution of protein corona significantly affect the biochemical and physicochemical properties of MV, resulting in 3 well-defined groups. Shaved MV exhibited an increase in tissue nonspecific alkaline phosphatase (TNAP) activity and a decrease in mineral deposition compared to native MV. Reconstituted MV partially recovered these functions, showing a reduction of TNAP activity and mineral deposition compared to native MV. Furthermore, changes in the protein corona affect the MV ability to anchor to the collagenous ECM, which is crucial for initiating the propagation of the mineral phase within this organic matrix. Proteomic analyses revealed changes in the protein profile of the MV resulting from the removal of the protein corona, indicating that shaved proteins were primarily related to external structural and ECM organization and catabolism. These findings underscore the role of the protein corona in modulating the mineralization capabilities of MV. Understanding these interactions could lead to new therapeutic strategies for enhancing bone repair and regeneration
