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Determining the optimal operating conditions of SOFCs electrolytes based on evolution of their electronic transport number with temperature and oxygen partial pressure: A case study of the Ce0.9Gd0.1O2-δ electrolyte
No full textInternational audienceOptimizing the performance of Solid Oxide Fuel Cells (SOFCs) or Solid Oxide Electrolysis Cells (SOECs) necessitates a thorough understanding of the electrolytes' transport properties under the device's operating conditions, whether through experimental data or established transport laws. This study investigates the electrical properties of Gd-doped ceria as a potential electrolyte material for SOFC applications. The electrical behavior of Gd-doped ceria was analyzed over a broad range of oxygen partial pressures (from 10−36 to 1 bar) and temperatures (200 °C to 900 °C) to establish the Patterson diagram, i.e., the variation of the total electrical conductivity as a function of the oxygen partial pressure (on logarithmic scales) for various temperatures. Additionally, the average transport number of the Gd-doped ceria electrolyte was evaluated under varying oxygen partial pressure gradients and temperatures using a specific semi-permeation method and compared with data derived from the Patterson diagram. The results collected in this study indicate that the use of Gd-doped ceria as an SOFC electrolyte requires precise control of oxygen partial pressure (particularly below 10−24 bar at 600 °C) or the hydrogen-to-water ratio at the hydrogen electrode to prevent efficiency degradation of the electrochemical system and to determine optimal operating conditions.</p
Blue and red light-enrichments induce dwarfism in Hydrangea macrophylla through molecular regulation of gibberellin pathway and of cell wall extensibility, without deleterious effects on photosynthetic parameters
No full textInternational audienc
AdapTT: Functoriality for Dependent Type Casts
No full textInternational audienceThe ability to cast values between related types is a leitmotiv of many flavors of dependent type theory, such as observational type theories, subtyping, or cast calculi for gradual typing. These casts all exhibit a common structural behavior that boils down to the pervasive functoriality of type formers. We propose and extensively study a type theory, called AdapTT, which makes systematic and precise this idea of functorial type formers, with respect to an abstract notion of adapters relating types. Leveraging descriptions for functorial inductive types in AdapTT, we derive structural laws for type casts on general inductive type formers
Decentralized multi-agent multi-armed bandits for smart electric vehicles charging
No full textInternational audienceSmart charging of electrical vehicles can help in avoiding congestion and peak load demands in an electrical distribution network. On the consumer's side, the advantage lies in minimizing the daily charging cost. He may also benefit from cheap photovoltaic electricity from local sources and therefore reduce his environmental impact. However, this cheaper electricity is variable and uncertain. In many research works, this has been formulated and solved as a centralized or hierarchical optimization problem. However, such systems may suffer from lack of scalability, single point of failures, and privacy breaches. We propose a fully decentralized and fair multi-agent system combined with reinforcement learning called "Decentralised multi-armed bandit (2-armed bandit) based on Thompson sampling"(D-MAB2AB-TS) to control the charging of electrical vehicles under uncertainties. The problem under consideration is formulated as a two-armed bandit (charging or not) for each instant. The proposed algorithm, based on Thompson Sampling, takes into account the uncertainties in the choice of arms combination of other players. The proposed algorithm finds the best combination of arms to play with a computational complexity O(m) linear with the number of arms. The suggested system is also model-free, as it does not assume the model of the environment to be perfectly known, which is a common assumption in many of the existing centralized optimization strategies for smart charging.</div
Deuteron-induced nuclear reactions to produce Lu: Extension of cross-sections data up to 33 MeV and impact on purity
No full textInternational audienceActivation cross-sections of lutetium and ytterbium radionuclides have been measured by deuteron-induced nuclear reaction on natYb(d,x) at the GIP ARRONAX (Saint-Herblain, France) cyclotron facility with a beam energy up to 33 MeV using the stacked-foil activation technique combined with high resolution γ-ray spectrometry. The measured experimental values enable the extension of the cross-section to higher energies. As a primary objective, we have focused on the cumulative measurement of the direct and indirect production routes of the therapeutic radioisotope 177gLu, via 176Yb(d,n) 177g,mLu and 176Yb(d,p) 177Yb →177gLu respectively. Post-irradiation gamma analysis, including a long gamma counting period, was performed to calculate the yield of the undesirable metastable isotopic impurity 177mLu. The results showed that it was found to be lower than our detection limit i.e. <0.0005% of 177gLu yield. Thick target yields for all detected radionuclides are also calculated in this paper. These measurements enabled the estimation of the production yield and isotopic purity of 177Lu obtained via deuteron-induced nuclear reactions for large production batches using highly enriched 176Yb2O3 samples (>99.5%). •Cross-section measurement of the theranostic radioisotope 177Lu induced by deuterons up to 33 MeV.•Metastable impurity 177mLu below the detection limit (<0.0005% of 177gLu yield).•Production yields and isotopic purities estimated from enriched 176Yb2O3 samples (>99.5%)
Disentangling Initial-State and Evolution Effects in Heavy-Ion Collisions Using EPOS and PHSD
No full textInternational audienceIn this study we examine the impact of the initial stage and dynamical evolution on final-state observables in heavy-ion collisions. For this goal we develop a novel approach, EPOSir+PHSDe, which employs EPOS initial conditions as the starting point for parton and hadron evolution within the PHSD microscopic transport approach. By examining the space-time evolution of matter in this model and comparing to EPOS (which starts with an S-matrix approach for parallel scatterings for the initial conditions and uses a hydrodynamic evolution for the quark-gluon plasma stage with the UrQMD as afterburner) and PHSD (which starts with primary high energy scattering realized via the LUND string model and continues with fully microscopic transport dynamics for strongly interacting partonic and hadronic matter), we identify the key differences in the final particle distributions among the three approaches. Our analysis focuses on rapidity, transverse momentum spectra, and flow harmonics for Au+Au collisions at the invariant energy of GeV. We find a dominant influence of dynamical evolution over the initial conditions on the final observables
Un partage d’expérience autour de la pratique de l’interdisciplinarité sur les feux : le projet EcoSoFI (2022-2024)
No full textInternational audienceLes collaborations inter/transdisciplinaires autour de la compréhension des feux et de leur gestion sont plébiscitées, mais leur mise en œuvre ne va pas pour autant de soi. A partir du partage d’expériences de plusieurs scientifiques et gestionnaires, le présent article restitue la démarche que nous avons adoptée pour comprendre ces difficultés ; et tire quelques constats et propositions. Onconstate notamment la dominance des sciences biophysiques et le poids de la modélisation dans les interfaces entre recherche et gestion. Au sein des SHS, on observe également des partitions entre disciplines et sous-disciplines, ainsi qu’une « interdisciplinarité inachevée » dans l’analyse des changements de régimes de feux. La spécialisation disciplinaire a conduit à une autonomisation du questionnement et des méthodes, qui ne sont plus explicitées ni interrogées au regard des autres approches et du terrain. Nos propositions consistent à remettre en question les catégories implicites concernant les pratiques et les savoirs liés aux feux et à définir des protocoles de recherche permettant des problématisations communes à partir d’études de cas localisées et « concrètes »
Direction-of-Arrival Estimation of Coherent Sources with Leaky-Wave Antennas using Spatially Filtered Interpolation
No full textInternational audienceWith their frequency-beam scanning behavior, leaky-wave antennas (LWAs) are promisingsolutions to develop accurate and cost-effective direction-of-arrival (DoA) estimationsystems. However, DoA estimators such as MUSIC face challenges with coherent sourcesdue to the non-Vandermonde LWA steering matrix. Leveraging the unique radiation propertiesof LWAs, this paper first divides the entire field of view into several angular sectors,and then introduces a robust and accurate sectorized spatially-filtered interpolation (SFI)method to transform the LWA steering matrix into a Vandermonde matrix in each sectorwhile minimizing the issue of out-of-sector interference. The proposed method allowsthus the estimation of DoAs of coherent sources with LWAs. The simulation results showthat the DoAs of multiple coherent sources across the entire field-of-view, regardless theirangular sector, can be correctly estimated. The performance of the proposed method isshown be close to the Cramér-Rao Bound
Muon tracking in a LiquidO opaque scintillator detector
No full textInternational audienceLiquidO is an innovative radiation detector concept. The core idea is to exploit stochastic light confinement in a highly scattering medium to self-segment the detector volume. In this paper, we demonstrate event-by-event muon tracking in a LiquidO opaque scintillator detector prototype. The detector consists of a 30 mm cubic scintillator volume instrumented with 64 wavelength-shifting fibres arranged in an 88 grid with a 3.2 mm pitch and read out by silicon photomultipliers. A wax-based opaque scintillator with a scattering length of approximately 0.5 mm is used. The tracking performance of this LiquidO detector is characterised with cosmic-ray muons and the position resolution is demonstrated to be 450 m per row of fibres. These results highlight the potential of LiquidO opaque scintillator detectors to achieve fine spatial resolution, enabling precise particle tracking and imaging
Restricted mean survival time in cluster randomized trials with a small number of clusters: Improving variance estimation of the intervention effect from the pseudo-values regression
No full textInternational audienceIn randomized clinical trials with a time-to-event outcome, the intervention effect could be quantified by a difference in restricted mean survival time (ΔRMST) between the intervention and control groups, defined as the expected survival duration gain due to the intervention over a fixed follow-up period. In cluster randomized trials (CRTs), social units are randomized to intervention or control groups; the correlation between survival times of the individuals within the same cluster must be taken into account in the statistical analysis. In a previous work, we proposed the use of pseudo-values regression, based on generalized estimating equations (GEEs), for estimating ΔRMST in CRTs. We showed that this method correctly estimated the ΔRMST and controlled the type I error rate in CRTs with at least 50 clusters. Here, we propose methods for CRTs with a small number of clusters (≤50). We evaluated the performance of four bias-corrections of the GEE sandwich variance estimator of the intervention effect. We also considered the use of a Student t distribution as an alternative to the normal distribution of the GEE Wald test statistic for testing the intervention effect and constructing the confidence interval. With a simulation study, assuming proportional or non-proportional hazards, we showed that the Student t distribution outperformed the normal distribution in terms of type I error rate, and the Fay and Graubard bias-corrected variance led to an appropriate type I error rate whatever the number of clusters. Therefore, we recommend the use of the Fay and Graubard variance estimator combined with a Student t distribution for the pseudo-values regression to correctly estimate the variance of the intervention effect. Finally, we provide an illustrative analysis of the DEMETER trial evaluating the use of a specific endotracheal tube for subglottic secretion drainage to prevent ventilator-associated pneumonia, by comparing each of the methods considered