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Smart zwitterionic biodegradable hydrogel for sustained peptide delivery: Application to the neurotherapeutic peptide NX210c
No full textInternational audienceTherapeutic peptides offer a promising balance between specificity, safety, and bioavailability. However, their clinical use is limited by poor in vivo stability and short half-life, requiring frequent administrations that can compromise patient compliance and therapeutic outcomes. NX210c, a synthetic cyclic dodecapeptide derived from the thrombospondin repeat motif of the sub-commissural organ-spondin shows neuroprotective effects, making it a promising candidate for the treatment of neurological disorders. However, its short half-life (~15 min) requires intravenous infusion highlighting the interest of an alternative delivery method to improve the quality of life for patients.This study, report the preclinical development of an injectable, biodegradable chitosan-based hydrogel functionalized with the macrocyclic ligand DOTAGA, designed for the sustained subcutaneous release of NX210c. The hydrogel forms in situ under physiological conditions, via electrostatic and hydrogen bonding interactions. The solvent-free formulation is simple and clinically compatible. Hydrogel candidate were screened in vitro for injectability, gelation, peptide loading, and release kinetics. In vivo validation on rodents confirmed subcutaneous injectability, gelation ability, biocompatibility and biodegradability within few weeks. Pharmacokinetics studies demonstrated distinct profiles: intravenous injection led to peptide clearance within 1 h; free NX210c administered subcutaneously slightly prolonged its presence in the bloodstream, with complete elimination observed within approximately 3 h. The use of hydrogel, enables AUCs dozens of times higher, with peptide levels sustained for over 10 to 15 days. These results highlight the hydrogel's potential as a patient-friendly, clinically translatable platform for therapeutic peptides requiring sustained release. Future studies will focus on the evaluation of its therapeutic efficiency.</div
Stochastic coefficient of variation: Assessing the variability and forecastability of solar irradiance
No full textInternational audienceA novel methodology for short-term energy forecasting using an Extreme Learning Machine () is proposed. Using six years of hourly data collected in Corsica (France) from multiple energy sources (solar, wind, hydro, thermal, bioenergy, and imported electricity), our approach predicts both individual energy outputs and total production (including imports, which closely follow energy demand, modulo losses) through a Multi-Input Multi-Output () architecture. To address non-stationarity and seasonal variability, sliding window techniques and cyclic time encoding are incorporated, enabling dynamic adaptation to fluctuations. The model significantly outperforms persistence-based forecasting, particularly for solar and thermal energy, achieving an of and , respectively, with \mathtt{R^2} > 0.98 (1-hour horizon). The model maintains high accuracy up to five hours ahead, beyond which renewable energy sources become increasingly volatile. While provides marginal gains over Single-Input Single-Output () architectures and offers key advantages over deep learning methods such as , it provides a closed-form solution with lower computational demands, making it well-suited for real-time applications, including online learning. Beyond predictive accuracy, the proposed methodology is adaptable to various contexts and datasets, as it can be tuned to local constraints such as resource availability, grid characteristics, and market structures
Evaluation of the barrier properties of biobased and biodegradable PHBV cups for a usage benefice in cheese applications
No full textInternational audienceThis study aims to characterize the barrier properties of polyhydroxyalkanoate cups (PHBV) or PHBV cups containing 20 % of cellulose fibers or 20 % of wood fibers in order to estimate the usage benefice in terms of food preservation to replace petrol-based packaging as polypropylene (PP), by bio-based and biodegradable PHBV packaging. For that, a previously developed model integrating (i) gases permeation through the lid film and the cup and (ii) sorption and diffusion of gases into the food (if any) was used. The O2 and CO2 permeabilities of PHBV were identified to 2.3 × 10−16 mol m−1.s−1.Pa−1 and 4.5 × 10−16 mol m−1.s−1.Pa−1 respectively at 23 °C, while the activation energy of these two parameters was estimated to 20.3 and 23.2 kJ mol−1 respectively. The integration of fibers in the PHBV packaging increased the gases permeabilities by a factor 11 to 23 for O2 and 5 to 10 for CO2, due to the presence of factures and holes in the cups. Based on the permeability values identified and thanks to 2D numerical simulation, it was concluded that PHBV packaging cups seems promising to replace PP packaging for products under modified atmosphere, and more specifically could maintain a similar shelf life than commercial packaging did for MAP product with intermediate shelf life such as fresh cheese
Un dialogue qui ne dit pas son nom ? Formes, usages et limites du dialogue professionnel en PME
No full textde La Rochefoucauld, M., Chader, A. (2025). La Régulation Interne de L'usage de L'intelligence Artificielle Générative En Entreprise : Cas D'orange. Innovations, Pub. anticipées(0), I190-XXXII.International audienceÀ l’heure où les organisations sont invitées à « ouvrir des espaces de discussion sur le travail », le dialogue professionnel suscite un intérêt croissant en tant que levier de régulation, de reconnaissance et d’adaptation. Pourtant, ce concept demeure peu stabilisé scientifiquement, notamment dans les PME où les pratiques sont largement informelles. Cet article s’appuie sur une étude qualitative menée auprès de 11 PME françaises, au travers de 44 entretiens semi-directifs croisant les regards de quatre profils d’acteurs (salariés, managers, représentants du personnel, direction). L’objectif est de mieux comprendre comment le dialogue professionnel est défini, mis en œuvre et perçu dans les pratiques organisationnelles, et comment il s’articule – ou entre en tension – avec le dialogue social. Les résultats mettent en évidence une pluralité de représentations, une prédominance des formes informelles, et un besoin de structuration lisible. Le dialogue professionnel apparaît à la fois comme ressource de management, espace d’expression ou tentative d’innovation sociale, mais aussi comme un objet ambivalent dont la légitimité dépend de sa reconnaissance et de son articulation avec les formes de représentation collective
Ellipsoid uncertainty tether model for collision avoidance in a fleet of Remotely Operated Vehicles
No full textInternational audienceDuring collision avoidance, the tether of Remote Operated Vehicle (ROV) is subject to entanglement with obstacles or other ROVs' tether. This specificity renders traditional multi-robot obstacle avoidance approaches inadequate for tethered multi-robot scenarios. This paper proposes a guaranteed ellipsoid model for representing the ROV's tether and its nearby obstacles, enabling an efficient, low-computation collision avoidance method for a fleet of ROVs. The model ensures that if the ellipsoid encompassing the tether remains entirely outside the ellipsoid encompassing an obstacle, there is no risk that the tether collides with it. The approach requires only the two attachment points of the tether and its length, without needing any information about the tether's shape, dynamics, or external disturbances such as underwater currents. A collision avoidance strategy is developed based on potential field methods combined with tether length management. When multiple ROVs are involved, personalities are added to ROV to obtain different behaviors, reducing the likelihood of deadlocks during avoidance maneuvers. Simulations demonstrate the method's effectiveness across various scenarios, and its limitations are also discussed
Sull’edizione di Bartolomeo Anglico, o della collazione a campione di manoscritti digitalizzati
No full textInternational audienc
Sea Surface Wave Remote Sensing
No full textInternational audienceAs a type of gravity wave travels at the interface between atmosphere and ocean, sea surface wave is a fundamental dynamic phenomenon which must be considered in oceanographic research, offshore engineering and maritime shipping etc. With the rapid development of space science and technology, satellite remote sensing has become an indispensable technology to observe and understand sea surface waves due to its advantages of global coverage, all-weather and all-day characteristics. This chapter introduces the characterization methods and main parameters of sea surface waves, the main spaceborne microwave payloads and observation principles of sea surface waves, and the main scientific and operational applications of satellite surface wave data
Crucial issues in non-verbal predication: A questionnaire
No full textInternational audienceWe propose here a typological questionnaire to orient the investigation of non-verbal predication. Each contributor answered the questionnaire, which helped highlight the salient features of non-verbal predication in each language or family. To limit the number of pages in the present work, the answers are online at https://www.degruyterbrill.com/books/978311073632-
Decoupling surface stiffness from surface chemistry: Impact on bacterial adhesion and retention under shear conditions
No full textInternational audienceUnderstanding how substrate mechanics influence bacterial adhesion and retention is essential for controlling biofilm formation on synthetic materials. Studies on soft polymers such as PDMS are often confounded by uncontrolled variations in surface chemistry and topography. In this work, a PS-PIB bilayer system was designed to decouple surface chemistry from mechanics, enabling independent control of stiffness while maintaining constant surface properties. Static adhesion assays with Pseudomonas aeruginosa PAO1 showed that initial attachment was insensitive to substrate modulus when surface chemistry and roughness were held constant. In contrast, retention under shear flow decreased with increasing stiffness and correlated more closely with the work of separation obtained from nanoindentation experiments. This parameter, which integrates both adhesive and dissipative contributions, is introduced as an empirical descriptor of interfacial mechanical resistance. Retention data were described by a power-law model consistent with stochastic frameworks of multivalent adhesion, reflecting population heterogeneity in the number and strength of adhesive contacts. Altogether, these findings suggest that viscoelastic dissipation is a key factor influencing P. aeruginosa PAO1 detachment under flow and highlight the need for future studies using bacterial mutants and diverse species to assess the generality of this correlation across different adhesion strategies