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Incremental Input-to-State Stability criterion for adaptive Echo State Network systems
No full textInternational audienceThis paper presents a novel controller design strategy for an adaptive leakyintegrator Echo State Network (ESN) system based on the incremental input-to-state stability criterion. The online learning approach with the leaky-integrator echo state network system is developed through the recursive least square (RLS) algorithm. The controller design methods are derived and represented by a set of linear matrix inequality conditions. The effectiveness of the proposed controller design conditions is illustrated via a simulation example.</div
The role of reactive oxygen, nitrogen, and sulfur species in the integration of (a)biotic stress signals in legumes
No full textInternational audienceLegumes are crops of considerable economic and ecological significance. They are suitable for cultivation in a variety of environments and temperatures. They are able to form a symbiotic relationship with nitrogen-fixing soil bacteria called rhizobia, contributing to the enrichment of marginal soils with this essential nutrient, and reduce artificial fertilizer use. Similarly, legumes establish a widespread mutualistic association with soil fungi, involving a reciprocal transfer of nutrients. Global warming is reshaping the interactions of plants with their environment, exerting profound effects on global agricultural systems. Plants have evolved sensing, signalling, and adaptive molecular mechanisms to respond to (a)biotic stimuli. Reactive oxygen, nitrogen, and sulfur species (RONSS) are key players in stress tolerance mechanisms, and their homeostasis, mainly accomplished by antioxidant enzymes and metabolites, is essential to allow redox signalling while preventing oxidative damage. Here, we review recent findings, highlighting metabolic pathways of RONSS and antioxidants, with emphasis on their functions in signalling and protection in response to (a)biotic constraints in legumes. Special attention is paid to the molecular crosstalk between RONSS in response to multiple stimuli and notably how redox homeostasis adjustment can increase (a)biotic stress tolerance and potentially be exploited to mitigate the negative effects of climate change
Exploring digital responsibility enactment: an evaluation of the social implications of digitally responsive employee advocacy platform
No full textFNEGE 3, ABS 3International audienceOrganizations are increasingly investing in employee advocacy (EA) programs and experimenting with digital workplace EA platforms that are designed to proactively offset negative wellbeing outcomes such as isolation and disengagement, by fostering proactive organizational citizenship behavior (OCB) like digital employee advocacy (DEA). Calls have been made to explore such digital responsibility enactments by evaluating the impact of the implied design intentions of such digitally responsive tools in promoting social and well-being implications on end-users. Using a bricolage approach, we evaluate user reviews of EA platforms to uncover overarching dimensions and theoretically construct a well-being-led grounded model for testing. The model links platforms-enabled social and psychological well-being to digital EA behavior through social and emotional attachment mechanisms. We generate lexical intensity values and use regression followed by expert interviews to validate the hypothesized model. Our findings advance the literature on digital responsibility enactment and conceptualize a crucial employee outcome, DEA
Dynamic Relocalization and Divergent Expression of a Major Facilitator Carrier Subfamily in Diatoms
No full textInternational audienceEukaryotic organisms, including microbial members such as protists and green algae, utilize suites of transporter proteins to move essential metabolites across cell organelle membranes. Amongst these different transporter families, the mitochondrial carrier family (MCF) is one of the most diverse, encompassing essential NAD+ and ADP/ATP translocators, as well as amino acid, sugar and cofactor transporters. They are typically associated with the mitochondrial inner membrane, but some display more dynamic localization. Here, we perform a census of predicted MCF domains in the genome of the model diatom alga Phaeodactylum tricornutum , identifying a new family of three proteins (termed here and elsewhere “MCFc”) with strong internal sequence conservation but limited similarity to other MCF proteins encoded in its genome. Considering both phylogenetic data and experimental localization, we posit that MCFc is widespread across algae with complex red chloroplasts alongside some primary green algae, and contains multiple subfamilies targeted to diatom mitochondria, plastids, and endomembranes. Finally, using data from Tara Oceans, we identify putative roles for MCFc in diatom cells, including a possible association of the plastid‐targeted Phatr3_J46742 subfamily in cellular nitrate assimilation. Our data provide insights into the evolutionary diversification of the membrane transport mechanisms associated with diatoms and other eukaryotic algae
Evaluating innovation output of companies backed by corporate, independent and syndicated venture capital
No full textFNEGE 3, ABS 3International audienceThis paper examines how Corporate Venture Capital (CVC), Independent Venture Capital (IVC) and Venture Capital Syndicate (VCS) promote innovation among startups. Drawing on a dataset of 4406 venture-backed deals in North America, spanning 1998–2019, it explores how the configurations of investors and their contextual factors influence innovation output. The findings show that syndicated and CVC-backed ventures outperform IVC-backed ventures. Syndicates with a larger membership are positively associated with innovation outcomes based on resource pooling and knowledge sharing; contextual factors, such as location and technology fit, environmental munificence and absorptive capacity have a positive moderating effect on the relationship between VC type and innovation outcomes. This research adds to both academic knowledge and practical implications, offering entrepreneurs, investors and policymakers' actionable insights about how to facilitate innovation, improve venture funding and enhance innovation management to ultimately strengthen the innovation ecosystem
Erica Lennard. Avec toi et seule
No full textInternational audience“Je vais avec toi et seule dans l’heureuse lumière des heures accomplies. Elizabeth et moi sommes sœurs. Nous sommes toutes sœurs”, écrit en 1976 Erica Lennard en exergue du livre Les femmes, les sœurs. Cet ouvrage, construit comme un dialogue entre des poèmes écrits par Elizabeth et des portraits de celle-ci ou de leurs amies, offre une vision nuancée et intime de la sororité, aujourd’hui réinventée par une nouvelle génération féministe. À l’occasion de l’exposition présentée aux Rencontres d’Arles 2025, ce livre revient pour la première fois sur l’histoire de ce projet fondateur, de sa genèse à sa réception, à partir d’archives inédites
Parallel Whale Optimization Algorithm-Kmeans for Image Segmentation using Multiprocessing
No full textInternational audienceImage segmentation is an important step in inter-preting and analyzing images, allowing computers and algorithms to process the content of an image accuratly and more effectively. Image segmentation is a crucial step in image preprocessing, while Kmeans is a widely-used clustering algorithm for im-age segmentation. However, the Whale Optimization Algorithm (WOA) is a nature-inspired metaheuristic optimization tech-nique known for its simplicity and global search capability. In this study, a hybrid approach was proposed, which combined WOA with Kmeans algorithm (WOA-Kmeans) to optimize image segmentation process, in the other hand, a parallel strategy was implemented for enhancing both segmentation quality and execution time. Traditional Kmeans suffers from sensitivity to initial cluster centroids, often leading to suboptimal results. By integrating WOA, the centroids initialization is improved, guiding Kmeans towards better convergence. Additionally, the parallelization of WOA-Kmeans using multiprocessing enables faster computation by distributing the work among multiple processes, making it suitable for high-resolution image processing tasks. This combination of WOA-Kmeans in a multiprocess environment ensures efficient and accurate image segmentation. The results demonstrate that the Parallel WOA-Kmeans outperform the sequentiel WOA-Kmeans in term of several performance measures, such as, accuracy, Root Mean Squar Error (RMSE), Peak signal to noise ratio (PSNR), and structural similarity index (SSIM)
Control of Singular Fractional Order Systems: LMI Approach
No full textInternational audienceThis book provides a comprehensive study of singular fractional-order systems, presenting a novel perspective on their analysis and control. Using the Linear Matrix Inequalities approach, it provides conditions for admissibility, robust admissibility, stabilization, and robust stabilization of fractional singular linear time-invariant systems. The methods discussed address key challenges in stability and robustness, and provide innovative solutions to open problems in fractional-order control theory.Aimed at control scientists, graduate students, and advanced undergraduates, this work bridges theoretical developments and practical applications, making it a valuable resource for understanding and advancing the field of fractional-order systems. It is particularly suitable for those seeking new directions in control systems research or who wish to apply fractional tools to dynamic systems modeling and control.With its unique focus and broad scope, this book serves as an indispensable reference for courses such as "Analysis and Control of Fractional-Order Systems" and "LMI-Based Control of Singular Fractional-Order Systems"
AI disruption: understanding performance and learning motivation of generation Z
No full textInternational audienceThe emergence of AI raises numerous concerns, including unemployment, lack of transparency, and environmental impact, among others. We are entering a transformative era marked by a significant shift from traditional tools to AI-driven technologies that revolutionize tasks. AI is playing a disruptive role in education and redefining its boundaries and evolution. Despite recent research on artificial intelligence in education—such as the systematic reviews by Zhang et al. (2024) and the empirical study by Atabekova et al. (2024)—there remains a notable gap in the literature regarding the impact of AI on young learners’ motivation and their engagement in achieving personal learning goals.Our research aims to explore Generation Z's future perspectives, and challenges by conducting a quantitative study grounded in three theories: Facilitating conditions and technology attributes are grounded in the UTAUT model (Venkatesh et al., 2003), which explains technology acceptance. Engagement, autonomy, and learning motivation are based on Self-Determination Theory (Deci & Ryan, 1985), emphasizing intrinsic motivation. Self-efficacy, goal commitment, and performance outcomes are informed by Expectancy Theory (Vroom, 1964), focusing on the effort–performance–reward relationship. Each variable is theoretically rooted to provide a cohesive model. The combination of these theories offers a comprehensive view of how AI impacts learning behavior and outcomes. The study employs a structural equation modeling (SEM) approach to analyze the relationships between key factors such as Facilitating Conditions, Engagement, Self-Efficacy, Autonomy, Goal Commitment, Learning Motivation, and Technology Attributes. Results highlight how these constructs collectively drive Performance Outcomes, shedding light on the mechanisms through which AI impacts personal and professional trajectories for Generation Z. We can understand their future orientations by comprehending how AI transfigures and changes their ability to learn and reach their objectives
NEVEUX, Pol. Reims, 25 août 1865 – Paris, 28 mars 1939
No full textInspecteur général des bibliothèques, homme de lettres, il est l’un des artisans de la loi du 20 juillet 1931 sur le classement des bibliothèques