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Robotic total knee arthroplasty with functional positioning safely addresses major coronal deformities: Comparable complications and survivorship
No full textInternational audienceAbstract Purpose Robotic‐assisted total knee arthroplasty (TKA) has emerged as a reliable strategy to improve surgical accuracy and enable functional alignment (FA), also referred to as functional knee positioning (FKP). However, its application in patients with major coronal plane deformities remains under‐investigated. This study aimed to evaluate complication rates, implant survival, radiographic outcomes and patient‐reported measures in patients with severe deformities undergoing robotic‐assisted TKA with FA/FKP principles compared to matched controls. Methods A retrospective comparative study was conducted on patients who underwent robotic‐assisted TKA between March 2021 and February 2023 at a single high‐volume centre. Patients with ≥15° varus or ≥10° valgus deformity were included in the study group and matched 1:1 with controls presenting neutral alignment. All procedures used the Mako robotic‐arm‐assisted system with standardised FA/FKP principles. Clinical outcomes included knee society score (KSS), forgotten joint score (FJS‐12), Kujala anterior knee pain scale (AKPS) and range of motion. Radiographic measurements and robotic data were assessed. Complications, reoperations and revision rates were analysed. Results Eighty‐eight patients (44 per group) were analysed, with a mean follow‐up of 2.8 ± 0.9 years. Complication and revision rates were comparable between groups (revision: 2.3% vs. 0%, p = 0.987). Patients with major deformities achieved higher FJS‐12 scores (83.9 ± 20.2 vs. 74.9 ± 19.0, p = 0.040), although the difference did not exceed the minimal clinically important difference (MCID = 9.9). Postoperative mHKA was less neutral in the deformity group (176.8° ± 4.7 vs. 180.0° ± 3.0, p = 0.002), without adverse impact on implant survival. Conclusions Robotic‐assisted TKA performed with FA/FKP principles appears to be a feasible option for patients with severe varus or valgus deformities. Despite residual alignment variability, complication and revision rates remained comparable to standard cases, and patient‐reported outcomes suggested greater perceived functional improvement. Level of Evidence Level III
Coupler les données satellitaires aux données de terrain pour comprendre les dynamiques des socio-hydrosystèmes à différents niveaux d'organisation
No full textNote scientifique du PEPR OneWate
Subdiffusive fractional limit of a jump-renewal equation
No full textIn this paper, we consider an age-structured jump model that arises as a description of continuous time random walks with infinite mean waiting time between jumps. We prove that under a suitable rescaling, this equation converges in the long time large scale limit to a time fractional subdiffusion equation
Optimization of structural and poling strategies in piezoelectric elastomer composites for soft sensing applications
No full textInternational audiencePiezoelectric flexible sensors are emerging as key components in medical applications, offering unique electromechanical properties for various diagnostic and therapeutic purposes. In this study, ceramic-filled silicone composites were developed as high-performance piezoelectric materials suitable for soft biomedical sensing applications. To enhance their electromechanical response, a multi-parametric design strategy was adopted, combining three approaches: the use of bimodal particle size distribution and the dielectrophoretic alignment of these particles within the matrix, supported by an optimized poling process. Results revealed that composites with an oriented particle distribution, consisting of 25 % of micro-sized particles and 75 % of nano-sized particles exhibited significant improvements in piezoelectric coefficient (d 33 ) compared to composites with randomly distributed particles. Additionally, the piezoelectric transverse coefficient (d 31 ) was significantly improved under in situ poling conditions, particularly in nano-rich and hybrid systems. These findings underline the potential of combining particle alignment, size hybridization, and poling optimization in enhancing the performance of piezoelectric composites for innovative medical sensor applications
Extreme nm-level precision in laser structuring with ultrafast non-diffractive beams
No full textThe recent progress in ultrafast laser material processing techniques paved the way towards reaching nm-scale feature size in material structuring, coming close to atomic precision. With a demonstrated capability in the 10 nm range, this implies a laser scribing performance of almost λ/100, a highly super-resolved laser structuring process. A nm feature size intrinsically relies on the involvement of local near-field optical activity during the ablation process, occurring both on surfaces and in the bulk, implying equally a nanoscale material reaction that triggers evanescent waves when irradiated by far field optical beams. Such resolutions and feature sizes are prone to open up new breakthrough developments in laser processing, notably in the definition and prototyping of new scale-dependent materials and functions. Adding high aspect ratios to nm size structural features by employing non-diffractive beams creates a new processing flexibility that can be exploited in innovative functional design of materials. We discuss current progress in the use of non-diffractive ultrafast laser beams matching nm scale structuring and high aspect ratios and emphasize some of the challenges and the opportunities of a unique laser processing technique on the roadmap towards atomic resolution
Nature(s) de la guerre. Ressources, appropriations, expropriations, restitutions dans les Amériques (du XVe siècle à nos jours)
No full text-structures through quotient by torus actions
No full textWe show that if is a Kähler manifold with an -structure and a Hamiltonian holomorphic action of a compact torus , then the usual symplectic quotient inherits an -structure provided the existence of special 1-forms on X, called twist forms. We then give several applications of our results: on complex projective spaces, on cones over Fano Kähler-Einstein manifold and on toric bundles. We also study the geometry behind these structures in the case of
Smell and Tell: The emergence of olfactory expertise in perfumery students
No full textDeveloping olfactory expertise is essential in professions like perfumery, where the ability to describe, categorize, and conceptualize odors is critical. This study investigates how academic training during a 1.5-year program at a perfumery school (ISIPCA) shapes olfactory expertise of perfumery students. Forty students were assessed at three time points, focusing on odor description, evocation, recognition, discrimination, and categorization tasks. Results show that training significantly enhanced language abilities related to odor description and categorization. Students developed a richer and more precise vocabulary to characterize odors, aligning more closely with expert’s terminology and contributing to the formation of a shared olfactory lexicon. Semantic similarity within and between students, as well as with expert references, increased, emphasizing the importance of consistent language use in expertise development. Advanced natural language processing and machine learning tools revealed that the richness of verbal descriptions and semantic similarity were strong predictors of expertise acquisition. In contrast, improvements in non-verbal tasks, such as odor discrimination and recognition, were more limited, suggesting that perceptual abilities may require more extensive training or specialized methods. Building on these results, we propose potential enhancements to olfactory training including reinforced language practice, mental imagery exercises, and sensory discrimination tasks, along with personalized training strategies. These findings highlight the central role of language in the emergence of olfactory expertise and the importance of computational methods for optimizing training programs and advancing educational practices in olfactory science
Water Parameters and Hydrodynamics in Rivers and Caves Hosting Astyanax mexicanus Populations Reveal Macro‐, Meso‐ and Microhabitat Characteristics
No full textInternational audienceThe Mexican tetra ( Astyanax mexicanus ) has emerged as a leading model for evolutionary biology and the study of adaptation to extreme subterranean environments. The river‐dwelling morph of the species is distributed in Mexico and Texas, while the blind and cave‐adapted morph inhabits the karstic caves of the Sierra Madre Oriental in northeastern Mexico. The molecular, cellular, and genetic underpinnings of Astyanax cavefish evolution are increasingly studied, but our understanding of its habitat and environment is incomplete, limiting the interpretations of its morphological, physiological, and behavioral adaptations. Notably, knowledge on the physicochemical parameters of the water is dispersed, and the hydrological regimes to which cavefish are subjected are largely unexplored. From 2009 to 2025, we have recorded the physicochemical parameters of the water at localities hosting A. mexicanus cavefish and surface fish in the Sierra de El Abra and Sierra La Colmena regions of the states of San Luis Potosí and Tamaulipas, Mexico. We sampled 13 caves out of the 33 known Astyanax caves and 30 surface stations (rivers, springs, ponds). Data were collected using a variety of devices and probes, including both point measurements (at the end of winter) and longitudinal measurements (throughout the year). The comparison of epigean and hypogean waters showed strong signatures of these two macrohabitats. As compared to surface, on average cave water was cooler, much less conductive, and highly hypoxic. Moreover, a comparison between different caves (i.e., mesohabitat level) revealed significant differences in both specific water parameters and hydrological regimes. One‐ or two‐year longitudinal recordings demonstrated that some caves exhibit relatively stable hydrological regimes, while others experience multiple, sudden, and significant fluctuations. Finally, distinct pools within a single cave showed notable differences, displaying a reproducible increasing gradient in water temperature as a function of distance from the cave entrance, and revealing specificities at the microhabitat level. We interpret our comprehensive dataset on cave water quality and hydrodynamics in the context of an integrated view of cave biology and the evolution of cave organisms
Joint reconstruction and pansharpening for high-resolution hyperspectral single-pixel imaging
No full textInternational audienceWe address the problem of single-pixel hyperspectral imaging, which requires balancing acquisition speed and spatial resolution. To improve spatial resolution when acquiring a small number of measurements in low-light conditions, we leverage side information from a high-resolution grayscale camera. Our joint reconstruction and fusion approach combines hyperspectral measurements and the grayscale image by minimizing a hand-crafted cost function that incorporates smooth spatial regularization and a low-rank approximation. Experiments on synthetic data show that our method improves spatial fidelity and per-pixel accuracy in photon-limited settings while preserving spectral alignment