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Motor complications and postural abnormalities interplay in Parkinson's disease
No full textInternational audienceBackground: Postural abnormalities (PA) and motor complications (MCs, including motor fluctuations - MFs- and levodopa-induced dyskinesia - LIDs) are hallmark of Parkinson's disease (PD) progression, yet their relationship remains poorly understood.Objective: To investigate the association between PA and MCs, motor symptoms, and non-motor symptoms (NMS) in patients with PD, and to assess whether PA influences the development of MCs over time.Methods: Data of the prospective NS-Park cohort (27 French PD Expert Centers) were analysed. PA was defined by a score ≥2 on item 3.13 of the MDS-UPDRS-III. Associations between PA and MCs, as well as with other motor symptoms and NMS, were assessed using logistic regression models. We used interval censoring survival models to assess the associations between PA at inclusion and the incidence of MCs. Analyses were adjusted for sex, age, disease duration, dopaminergic dose, and disease severity.Results: Among 13,037 included PD patients (58.7 % male, median age at diagnosis 61 years), 724 (5.6 %) presented with PA. Patients with PA had longer disease duration, higher disease severity, and higher dopaminergic treatment. PA exhibited a higher prevalence of troublesome MFs (OR: 5.96; 95 % CI: 4.25-8.32) and LIDs (OR: 2.81; 95 % CI: 1.79-4.30), while associations with milder MCs were inconsistent. However, PA was not significantly associated with the development of MCs during follow-up.Conclusions: PA are associated with more frequent severe MCs, and a higher burden of motor and NMS, making patient care particularly challenging
Green Synthesis of MIL-53(Al)/Fe2O3 Core-Shell Composites Using PET-Derived Linker Source for Enhanced Orthophosphate Cleanup: Synthèse verte de composites cœur-coquille MIL-53(Al)/Fe2O3 utilisant une source de liaison dérivée du PET pour une purification améliorée de l'orthophosphate
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Approche multi-axes basée deep learning pour la segmentation 3D du diaphragme
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Rett_analysis
No full textMachine-Learning-Driven Prediction of Neurochemical Signatures in the Rett Syndrome Mouse Brai
STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation
No full textVisual foundation models provide strong perceptual features for robotics, but their dense representations lack explicit object-level structure, limiting robustness and contractility in manipulation tasks. We propose STORM (Slot-based Task-aware Object-centric Representation for robotic Manipulation), a lightweight object-centric adaptation module that augments frozen visual foundation models with a small set of semantic-aware slots for robotic manipulation. Rather than retraining large backbones, STORM employs a multi-phase training strategy: object-centric slots are first stabilized through visual–semantic pretraining using language embeddings, then jointly adapted with a downstream manipulation policy. This staged learning prevents degenerate slot formation and preserves semantic consistency while aligning perception with task objectives. Experiments on object discovery benchmarks and simulated manipulation tasks show that STORM improves generalization to visual distractors, and control performance compared to directly using frozen foundation model features or training object-centric representations end-to-end. Our results highlight multi-phase adaptation as an efficient mechanism for transforming generic foundation model features into task-aware object-centric representations for robotic control
Dual-arm motion-compensated single-pixel imaging
No full textSingle-pixel imaging offers a cost-effective strategy for high-resolution imaging over a wide range of electromagnetic frequencies, but suffers from motion artifacts due to its sequential acquisition process. In this work, we propose a new framework for dynamic single-pixel imaging that is particularly suited for hyperspectral imaging. First, we introduce a hybrid dual-arm device combining a hyperspectral single-pixel camera and a conventional imaging arm, which allows accurate motion estimation during acquisition. We then reformulate the reconstruction problem by compensating for motion, thereby reducing the dynamic problem to a static reconstruction task over an extended field of view. Two different discretizations -warping either the illumination patterns or the image to be reconstructed are proposed, along with an in-depth analysis of their tradeoffs. Through extensive numerical simulations and real-world experiments, we demonstrate that warping the image rather than the patterns leads to superior reconstruction quality. In addition, extending the field of view beyond that of the single-pixel camera significantly mitigates model mismatch and improves image fidelity. The proposed method achieves low computational cost while maintaining theoretical rigor, providing a practical and robust solution for dynamic single-pixel imaging. Open-source implementations are provided to facilitate reproducibility and future research.</div
Euclid preparation. Galaxy 2-point correlation function modelling in redshift space
No full textInternational audienceThe Euclid satellite will measure spectroscopic redshifts for tens of millions of emission-line galaxies. In the context of Stage-IV surveys, the 3-dimensional clustering of galaxies plays a key role in providing cosmological constraints. In this paper, we conduct a model comparison for the multipole moments of the galaxy 2-point correlation function (2PCF) in redshift space. We test state-of-the-art models, in particular the effective field theory of large-scale structure (EFT), one based on the velocity difference generating function (VDG), and different variants of Lagrangian perturbation theory (LPT) models, such as convolutional LPT (CLPT) and its effective-field-theory extension (CLEFT). We analyse the first three even multipoles of the 2PCF in the Flagship 1 simulation, which consists of four snapshots at . We study both template-fitting and full-shape approaches and find that with the template-fitting approach, only the VDG model is able to reach a minimum fitting scale of at without biasing the recovered parameters. Indeed, the EFT model becomes inaccurate already at . Conversely, in the full-shape analysis, the CLEFT and VDG models perform similarly well, but only the CLEFT model can reach while the VDG model is unbiased down to at the lowest redshift. Overall, in order to achieve the accuracy required by Euclid, non-perturbative modelling such as in the VDG or CLEFT models should be considered. At , the CLPT model is sufficient to describe the data with high figure of merit. This comparison selects baseline models that perform best in ideal conditions and sets the stage for an optimal analysis of Euclid data in configuration space
The Goldilocks paradox: when partial oncoprotein inhibition fuels metastasis in Ewing sarcoma
No full textInternational audienceNo abstract availabl
Negative Selection Maintains Grossly Altered but Broadly Stable Karyotypes in Metastatic Colorectal Cancer
No full textInternational audienceAbstract Aneuploidy is near-ubiquitous in cancer and contributes to tumor biology. However, the temporal evolutionary dynamics that select for aneuploidy remain uncharacterized. We performed longitudinal genomic analysis of 755 samples from 167 patients with colorectal-derived neoplasias from different stages through metastasis and treatment. Adenomas had few copy number alterations (CNA) and most were subclonal, whereas cancers had many clonal CNAs, suggesting that progression goes through a CNA bottleneck. Individual colorectal cancer glands from the same tumor had similar karyotypes, despite evidence of ongoing instability at the cell level. CNAs in metastatic lesions, after therapy, and in late recurrences were similar to the primary. Mathematical modeling indicated that these data are consistent with the action of negative selection on CNAs that “trap” cancer genomes on a fitness peak characterized by specific CNAs. Hence, progression to colorectal cancer requires traversing a rugged fitness landscape, whereas subsequent CNA evolution is constrained by negative selection. Significance: We profiled 167 long-term responders longitudinally (755 samples), documenting long-term cancer evolution. We found that a genetic bottleneck is required for progression and is associated with dramatic increase in CNAs but decrease in clonal diversity. After initiation, copy number evolution is constrained by negative selection through metastasis and treatment
Validity and reliability of the French version of the quick-FAAM (Q-FAAM-F) among patients undergoing anatomic ankle ligament reconstruction
No full textInternational audiencePurpose: To evaluate the validity and reliability of the French version of the Quick Foot and Ankle Ability Measure (Q-FAAM-F) in French-speaking patients with chronic lateral ankle instability (CLAI).Methods: We conducted a prospective observational cohort in a sports surgery centre with repeated assessments preoperatively, and at 3 and 6 months postoperatively; the primary analysis was cross-sectional at 6 months. Consecutive CLAI patients undergoing anatomic lateral ankle ligament reconstruction (AALR) were included. Patients completed the Q-FAAM-F (12 items derived from the validated French FAAM) alongside the full FAAM, FAOS, ALR-RSI, CAIT and VAS-pain. Internal consistency (Cronbach's α), item-total and inter-item correlations, and construct validity (Pearson's r) were calculated. Discriminant validity used ROC analyses for CLAI status (CAIT < 24) and return to sport (RTS), defined on the RTS continuum as return to the pre-injury sport at any level at 6 months and treated as an external clinical variable.Results: Among 275 patients (56% male; median age 32 years), Q-FAAM-F showed excellent internal consistency (α = 0.96) and strong item-total correlations (mean r ≈ 0.65). Convergent validity was strong with the FAAM (r = 0.95) and with FAOS and ALR-RSI; divergent validity was supported by the absence of correlation with CAIT of the nonoperated limb. ROC AUC for CLAI status and RTS were high; optimal cut-offs were 78.1/100 (CLAI: sensitivity 81.3%, specificity 85.4%) and 80.2/100 (RTS: sensitivity 75.4%, specificity 87.9%). Conclusion: The Q-FAAM-F is a valid and reliable PROM for French-speaking CLAI patients, suitable for clinical practice and research. Precise AUC-based thresholds may support clinical decision-making at 6 months