Institution
Université Paris Sciences et Lettres
Recent research
- Climate & EnvironmentOpen access
Models struggle to represent the coupled microphysical, turbulent and radiative processes within widespread, long-lived marine cold-air outbreak (CAO) cloud fields, contributing to forecast and climate biases. Here we combine ground-based and satellite measurements to initialize...
- Health & Medicine
Atenolol or Bisoprolol after Myocardial Infarction without Recorded Heart Failure
BACKGROUND: Beta-blockers are a cornerstone of therapy following myocardial infarction. The effect of different β-blockers on the outcomes of patients without heart failure after myocardial infarction is not well-studied. METHODS: This observational cohort study used administrati...
- Physics & SpaceOpen access
A floating body with no preferred orientation: An experimental realization
We present a simple experimental realization of a two-dimensional floating body that can remain in equilibrium in any orientation. This system is based on a class of shapes known as Zindler curves, which possess the remarkable geometric property that all chords dividing their are...
- AI & ComputingOpen access
Differentiable latent structure discovery for interpretable forecasting in clinical time series
Abstract Background Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpretability. We introduce StructGP, a continuous-time multi-task Gaussian pr...
- Climate & EnvironmentOpen access
Evaluation of ASCAT soil moisture retrievals and their potential to detect intraday variability
Accurate sub-daily soil moisture (SM) retrievals from satellite observations remain a major challenge due to sparse temporal sampling and retrieval uncertainties. This study introduces a localized convolutional neural network (CNN-l) framework designed to enhance SM estimates fro...
- Health & MedicineOpen access
Abstract Background Tuberculosis (TB) epidemiology in low-incidence settings is increasingly influenced by the importation of Mycobacterium tuberculosis complex (Mtbc) strains from high-incidence regions. Globally, more virulent “generalist” lineages such as Lineage 2 (L2) and Li...
- Materials & Energy
ABSTRACT Mechanochemistry has emerged a greener and more efficient alternative to solution‐based methods for hydrazone synthesis. However, prior studies have predominantly focused on final yields, reaction times, and biological activities, while giving limited attention to reacti...
- Materials & EnergyOpen access
Abstract In vivo fluorescence lifetime imaging (FLI) is an advanced optical imaging modality with the capability to reveal additional biological information compared to fluorescence intensity (FI) imaging. In addition to enabling tissue discrimination based on microenvironmental...
- Engineering & Technology
Abstract This study investigates the thermodynamic phase behavior of the binary system phenol (C6H5OH) + n-hexane (C6H14), a mixture relevant to separation processes in refining and coal conversion. Liquid–liquid equilibrium (LLE) and solid–liquid equilibrium (SLE) data were meas...
- Health & MedicineOpen access
Retinoblastoma (RB) research is significantly constrained by the limited availability of preclinical models that accurately recapitulate the disease complexity, particularly regarding the context of vitreous seeding, a major driver of therapeutic resistance and treatment failure....
- AI & ComputingOpen access
The distribution shift problem induced by dynamic environments significantly degrades the performance of data-driven fault diagnosis systems in real-world applications. Although domain generalization techniques have been introduced to address distribution discrepancies, static ge...
- Materials & EnergyOpen access
Symmetry-based pulsed DNP and EPR sequences
Pulsed microwave irradiation provides more versatile control over spin dynamics than continuous-wave (CW) methods. This study adapts symmetry-based dipolar recoupling sequences, which are originally designed for magic angle spinning (MAS) NMR, to exploit electron-nuclear interact...
- Climate & EnvironmentOpen access
Aseismic Slip Along the Evaporite‐Rich Strike‐Slip Katouna‐Stamna Fault in Greece
Abstract Aseismic slip has been observed on many active faults globally, but its controlling mechanisms remain unclear. This study focuses on the NW‐striking, left‐lateral Katouna‐Stamna Fault in Western Greece. We use InSAR surface deformation measurements to confirm the presenc...
- Health & MedicineOpen access
Non-tuberculous mycobacteria (NTM) are increasingly recognized worldwide as significant causes of chronic pulmonary disease, particularly among individuals with underlying structural lung disorders or immunosuppression. However, data on the epidemiology and clinical management of...
- Society & Economics
The Development of Compositionality in Language and Thought
Compositionality is the property of a representational system whereby complex meanings arise from the combination of simpler meaningful elements. Here we take a developmental perspective to understand the origins of compositional representational systems and their relation to lan...
- Physics & SpaceOpen access
Myosin II–independent contraction of actin filaments in membrane nanotubes
The ability to generate active stresses within filamentous actin matrices is a fundamental and evolutionarily conserved process driving locomotion and morphogenetic changes in cells. The generation of pushing forces by actin polymerization is reasonably well understood, and is kn...
- BiologyOpen access
The membrane-to-cortex distance regulates mDia1 activity to control cortical mechanics
Abstract The shape of animal cells is controlled by their surface, which comprises the cell cortex, a peripheral actin network, tethered to the plasma membrane by membrane-to-cortex attachment proteins. Changes in cortical components have long been considered to dominate the regu...
- Materials & EnergyOpen access
Predicting grain growth in polycrystalline materials using deep learning time series models
Grain growth strongly influences the mechanical behavior of materials, making its prediction a key objective in microstructural engineering. In this study, several deep learning approaches are evaluated, including recurrent neural networks (RNN), long short-term memory (LSTM), te...
- Engineering & TechnologyOpen access
A barycenter-based approach for the multi-model ensembling of subseasonal forecasts
Abstract. Ensemble forecasts and their combination are examined from the perspective of probability spaces. By treating ensemble forecasts as discrete probability distributions, multi-model ensemble (MME) forecasts are reformulated as barycenters of these distributions. We consid...
- Society & EconomicsOpen access
Longitudinal evidence for decreasing statistical learning abilities across childhood
Abstract Statistical learning enables us to identify patterns in our environment and predict future events, thereby supporting a range of motor, cognitive, and linguistic skills. Despite its significance, the developmental trajectory of statistical learning has remained unclear d...