HAL Portal ESPCI (Ecole Supérieure de Physique et de Chimie Industrielles)
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Metallocarbonyl bromomaleimide derivatives for thiol bioconjugation and disulfide bridging: spectroscopic and biological properties
No full textInternational audienceMetallocarbonyl mono- and dibromomaleimides are potent fluorogenic reagents for thiol group modification, protein disulfide rebridging, and CO delivery to cancer cells
Slipping and fluidisation in active crystalline rotors
No full textInternational audienceQuincke roller active colloids self-assemble under confinement into rotors. A “magic number” of 61 particles forms a tiny crystallite which rotes and undergoes a series of slipping transitions as activity is increased
Stretchable Ionic Conductors: Balancing Mechanical Properties and Ionic Conductivity
No full textInternational audienceStretchable ionic conductors (SICs) have been the focus of recent research due to their potential in soft electronics, bioelectronics, and flexible energy devices. A key challenge in this field is achieving a good balance between ionic conductivity and mechanical robustness, particularly in solvent-free systems where durability and long-term stability are critical. Recent progress in elastomer-based SICs has demonstrated innovative strategies to enhance performance, including the use of dynamic cross-linking, supramolecular interactions, and phase-separated networks. Materials such as poly(ionic liquid)-based elastomers (PILs), polymerizable deep eutectic solvents (PDESs), and dual-network ionogels have emerged as promising candidates, offering high stretchability, tunable conductivity, and improved mechanical strength. This review provides an overview of the design strategies and key properties of SICs, focusing on the interplay between mechanical performance and ion-transport. By analyzing recent advances in material architecture, cross-linking chemistry, and ion transport mechanisms, we highlight promising approaches for optimizing SICs for the next generation of stretchable devices
High throughput measurement of bubble coalescence times using digital millifluidics: Coalescence of N2 bubbles in decane−cyclopentanol mixture
No full textFoams may form in oil mixtures, such as lubricants, as a result of air entrainment. The long lifetimes of those foams significantlyimpair the thermal properties of lubricants and increase power losses by engines [Zhan et al. (2022)]. In order to improve theefficiency of lubricants, we offer here to gain insights in the stability of bubbles in binary mixtures of miscible oils as a function ofbubble size and liquid composition. To do so, using a micro-millifluidic set-up, we control the formation of bubbles in oil mixturesand study variations in their coalescence time. The set-up allows to easily vary the curvature of the bubbles over one decade,perform statistics over a large number of coalescence events and measure coalescence times that span more than three orders ofmagnitude
High intensity focused ultrasound periosteal ablation in an animal model: potential for palliation of bone metastases
No full textInternational audiencePurpose: Radiotherapy is standard-of-care for painful bone metastases yet has limitations and associated side effects. Ablation of sensory nerves endings along the periosteum with magnetic resonance imaging guided high intensity focused ultrasound (MRgFUS) proved safe and clinically effective for pain relief in patients with bone metastases, received FDA and CE approval, but has not gained widespread adoption due to significant cost and procedural and logistical complexity. This preclinical study evaluated the safety and feasibility of a fluoroscopy-guided high intensity focused ultrasound platform to ablate a targeted region along the surface of bones.Methods: Two healthy adult pigs received 6 kJ to 10 kJ sonications to the femur, ileum, and ribs. Animals were followed-up for 3 months. Longitudinal clinical observation and follow up magnetic resonance imaging (MRI), and computed tomography (CT) scans were performed. After sacrifice, the targeted bone and adjacent tissues were sent for histopathological evaluation to confirm thermal ablation.Results: Clinical observations revealed no neurological or musculoskeletal deficits. MRI scans on day 5 demonstrated robust ablation in all targeted sites. At 12 weeks, CT scans and histopathological evaluation showed complete healing of ablated regions.Conclusions: Periosteal bone ablation using the Neurolyser XR in a healthy porcine model is feasible with no adverse events, and no radiological or histological evidence of lasting injury or fracture to the targeted bones
Athermal creep deformation of ultrastable amorphous solids
No full textInternational audienceWe numerically investigate the athermal creep deformation of amorphous materials having a wide range of stability. The imposed shear stress serves as the control parameter, allowing us to examine the time-dependent transient response through both the macroscopic strain and microscopic observables. Least stable samples exhibit monotonicity in the transient strain rate versus time, while more stable samples display a pronounced non-monotonic S-shaped curve, corresponding to failure by sharp shear band formation. We identify a diverging timescale associated with the fluidization process and extract the corresponding critical exponents. Our results are compared with predictions from existing scaling theories relevant to soft matter systems. The numerical findings for stable, brittle-like materials represent a challenge for theoretical descriptions. We monitor the microscopic initiation of shear bands during creep responses. Our study encompasses creep deformation across a variety of materials ranging from ductile soft matter to brittle metallic and oxide glasses, all within the same numerical framework
Conformal Ka-band metasurface antenna for airborne communications platforms
No full textInternational audienceThis paper reports on recent achievements in the field of metasurface antenna. Conformal Ka-band metasurfaceantenna designed for airborne communications platforms have been realized and characterized in the Ka-band. Comparison of performances of planar and conformal metasurface antennas exhibits a conservation of impedance matching in frequency band (30% bandwidth) while a reduction of maximum gain performances of 2dB
Cationization of fac-[Mn(CO)<sub>3</sub>(<sup>R</sup>bpy)Br] complexes with ammonia: direct access to water-soluble photoinduced CO releasing molecules
No full textInternational audienceA new family of water-soluble photoinduced CO-releasing molecules (PhotoCORMs) having the general structure fac-[Mn(CO)3(Rbpy)Br)(NH3)]Br (bpy= 2,2’-bipyridine; R= -H, -Me, -tBu, -OMe, -NO2, -CF3, -CONH2) has been synthesized in good yield by reaction between the corresponding [Mn(CO)3(Rbpy)Br] complexes and methanolic ammonia. Photolysis experiments and myoglobin assay were performed on all the complexes and unambiguously demonstrated that they rapidly release from one to three CO molecules upon blue light irradiation
Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification
No full textInternational audienceU-Net is a commonly used model for medical image segmentation. However, when applied to chest X-ray images that show pathologies, it often fails to include these critical pathological areas in the generated masks. To address this limitation, in our study, we tackled the challenge of precise segmentation and mask generation by developing a novel approach, using CycleGAN, that encompasses the areas affected by pathologies within the region of interest, allowing the extraction of relevant radiomic features linked to pathologies. Furthermore, we adopted a feature selection approach to focus the analysis on the most significant features. The results of our proposed pipeline are promising, with an average accuracy of 92.05% and an average AUC of 89.48% for the multi-label classification of effusion and infiltration acquired from the ChestX-ray14 dataset, using the XGBoost model. Furthermore, applying our methodology to the classification of the 14 diseases in the ChestX-ray14 dataset resulted in an average AUC of 83.12%, outperforming previous studies. This research highlights the importance of effective pathological mask generation and features selection for accurate classification of chest diseases. The promising results of our approach underscore its potential for broader applications in the classification of chest diseases