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Efficacy and safety of second-line treatments in patients with advanced EGFR-mutated non-small cell lung cancer progressing on osimertinib without identified targetable resistance mechanism at progression
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Balanoposthitis due to <i>Klebsiella aerogenes</i> in men who have sex with men
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Revisiting Age‐Related Changes in Statistical Learning: The Importance of Longitudinal Evidence
International audienceAbstract In a recent article in Cognitive Science, Rogachev et al. (2025) presented a cross‐sectional investigation of visual statistical learning (SL) in children aged 3–9 years and concluded that implicit SL remains stable across early childhood. They cited our longitudinal study (Tóth‐Fáber et al., 2024) as supporting this conclusion. Here, we clarify that this interpretation is incorrect. Using a longitudinal design tracking the same individuals from ages 7 to 14, we demonstrated a reliable developmental decline in implicit SL, along with substantial interindividual variability. We further showed that executive functions measured at age 14 predict individual developmental trajectories of SL, indicating a dynamic reorganization of learning systems with maturation. Importantly, tasks used to measure SL inevitably recruit multiple cognitive processes, and differences in these task demands can substantially influence observed developmental trajectories. We argue that longitudinal and cross‐sectional designs yield qualitatively different evidence about developmental change. Longitudinal evidence and relatively process‐pure measures are, therefore, essential for accurately characterizing developmental dynamics in SL
Emergency Obstetric Care Access Deprivation Modelled Dataset in Beira, Mozambique
International audienceProduced as part of the IDEAMAPS Data Ecosystem project, this dataset maps the degree of access deprivation to Emergency Obstetric Care. It is a spatial representation of how women of childbearing age (16-49 years) can reach, choose and receive obstetric care during an emergency. In particular, the model aims to depict how these access might impact women during the critical interpartum and delivery phases. These phases have been prioritised considering community priorities and the high levels of maternal mortality in the study areas
Design, Synthesis and Characterization of a Methoxyhydrazide‐Based Copper(II)–Schiff Base Complex: Investigation of Peroxidase‐Mimetic Behaviour, DNA/BSA‐Binding Interactions, Molecular Docking and Cytotoxic Potential Against HeLa Cells
International audienceABSTRACT A mononuclear Cu(II)–Schiff base complex, indicated as MBMBC, has been synthesized from a methoxyhydrazide‐based ligand (HL), ( E )‐ N ′‐(5‐bromo‐2‐hydroxy‐3‐methoxybenzylidene)‐4‐methoxybenzohydrazide. The structure of the complex was determined by single‐crystal X‐ray diffraction analysis, which revealed that the Cu(II) centre is chelated by two oxygen and one imine nitrogen atom of the deprotonated ligand, an aquo and a nitrate ion to form a distorted square pyramidal geometry around the metal. The catalytic activity of the MBMBC complex was assessed for peroxidase‐like oxidation reactions involving o ‐phenylenediamine (OPD), 3,3′‐diaminobenzidine (DAB) and pyrogallol in methanol, using hydrogen peroxide (H 2 O 2 ) as the oxidant. The complex also showed strong binding affinity towards calf thymus DNA (CT‐DNA) and bovine serum albumin (BSA), as confirmed by UV–vis absorption spectroscopy. Significant fluorescence quenching of both the DNA–ethidium bromide (EB) complex and BSA was observed upon addition of the complex MBMBC, suggesting effective binding interactions. To support the experimental findings, molecular docking studies were performed to determine the binding site and interaction energies. Furthermore, the anticancer potential of the MBMBC complex was assessed on the cervical cancer cell line (HeLa) via an in vitro MTT assay, demonstrating its promising cytotoxic activity. Flow cytometry analysis using Annexin V/PI was performed to determine the mode of cell death, which was again reinforced by Hoechst 33342 staining. Generation of reactive oxygen species (ROS) was also envisaged using DCFH‐DA. All these data together suggested that the complex MBMBC is demonstrating a potential anticancer effect
Review article: Weddell Sea Polynya formation, cessation and climatic impacts
International audienceOpen-ocean polynyas, areas with little or no sea ice, reappeared extensively in 2016 and 2017 over the Maud Rise in the Weddell Sea after a 40-year hiatus, raising a series of unresolved questions about the atmosphere-ice-ocean interactions in the Antarctic region. These major polynyas significantly influence moisture and heat exchange between the atmosphere and the ocean, impacting both regional and global climate dynamics, as well as ecosystem functioning and biogeochemical processes. Notably, they may play a crucial role in contributing to the formation of Antarctic Bottom Water and influencing global ocean circulation. In this Review, we synthesize current knowledge on the drivers and impacts of Weddell Sea polynyas. Recent occurrences have been linked to factors such as a strengthening Weddell Gyre, a negative Southern Annular Mode, extreme local atmospheric conditions (atmospheric rivers and cyclones), and subsurface ocean heat buildup which acts as a preconditioning factor. The associated deep ocean convection from these polynyas can enhance air-sea gas exchange and trigger earlier phytoplankton blooms due to the influx of iron and nutrients from the deep ocean. While advancements in observation and modeling techniques have significantly improved our understanding of polynyas, substantial uncertain-ties remain regarding their interaction with recent Antarctic sea ice loss, their sensitivity to ocean mixing schemes, their excessive size or frequency in climate simulations, and future projections. Therefore, future research should focus on developing comprehensive four-dimensional regional observatories and targeted, data-constrained coupled models that accurately capture atmosphere-ice-ocean interactions across various timescales
Modélisation haute résolution des panaches de méthane : validation et expériences de sensibilité pour explorer les approches de quantification des émissions
International audienceMethane (C H 4 ) emissions from natural gas, waste, and industrial sources are routinely detected by satellite and aerial platforms; however, quantifying these plumes remains challenging due to their complex structure and rapidly changing fine-scale atmospheric dynamics. This study directly addresses the resulting uncertainties in UAV flight measurements by employing the Fire Dynamics Simulation (FDS) in Large Eddy Simulation (LES) mode, leveraging mean wind data derived from LiDAR datasets. The FDS model was validated with in-situ CH 4 concentration data collected by Uncrewed Aerial Vehicles (UAVs) during controlled release experiments. Our analysis of ten extensively sampled plumes shows that FDS accurately reproduces the magnitude and spatiotemporal variations of the observed plumes for sufficiently large pipes (diameter > 0.6 cm). We found that factors such as gas exit velocity, obstacles, and terrain topography significantly affect the near-field dynamics of the plumes. To a lesser extent, the temperature of the gas influences plume behaviour at higher mass-flow rates. We highlight the added value of high-resolution LES modelling to understand CH 4 plume dynamics captured by various sensors, aiming to improve current emissions quantification methodsLes émissions de méthane (CH4) provenant du gaz naturel, des déchets et des sources industrielles sont couramment détectées par des plateformes satellitaires et aériennes ; cependant, la quantification de ces panaches reste complexe en raison de leur structure multidimensionnelle et de la dynamique atmosphérique fine, qui évolue rapidement. Cette étude traite directement les incertitudes résultant des mesures par vol de drones (UAV) en employant la simulation de dynamique d'incendie (FDS) en mode de simulation des grandes échelles (LES), en exploitant les données de vent moyen dérivées de jeux de données LiDAR. Le modèle FDS a été validé avec des données de concentration de CH4 recueillies in situ par des drones lors d'expériences de rejets contrôlés. Notre analyse de dix panaches largement échantillonnés montre que le modèle FDS reproduit avec précision l'ampleur et les variations spatiotemporelles des panaches observés pour des conduites de diamètre suffisant (diamètre > 0,6 cm). Nous avons constaté que des facteurs tels que la vitesse de sortie du gaz, les obstacles et la topographie du terrain affectent de manière significative la dynamique en champ proche des panaches. Dans une moindre mesure, la température du gaz influence le comportement du panache à des débits massiques plus élevés. Nous soulignons la valeur ajoutée de la modélisation LES à haute résolution pour comprendre la dynamique des panaches de CH4 captée par divers capteurs, dans le but d'améliorer les méthodes actuelles de quantification des émissions
UResistant – La Résistance qui doit être encore racontée : étude philologique et édition numérique de Ur Partigiano Johnny de Beppe Fenoglio
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Evaluation of factors affecting total ozone column and its trend at three Antarctic stations in the years 2007–2023
International audienceThis study assesses trends in the total ozone column (TOC) and the atmospheric factors influencing ozone variability at three Antarctic stations (Marambio, Troll/Trollhaugen, and Concordia) from 2007 to 2023. Ground-based TOC measurements were used, supplemented by satellite observations from the Ozone Monitoring Instrument on NASA's Aura satellite. TOC trends were derived using a multiple linear regression model provided by the Long-term Ozone Trends and Uncertainties in the Stratosphere (LOTUS) project. The selected LOTUS model was able to explain 94 %–97 % of the TOC variability at all three stations. The regression analysis showed that ozone variability at these stations is mainly driven by the lower stratospheric temperature, eddy heat flux, and the Quasi-Biennial Oscillation. A statistically significant increasing trend was found at the Marambio station (3.43 ± 3.22 DU per decade), while statistically insignificant trends were detected at the other two stations. Using MERRA-2 reanalyses, the LOTUS model was applied to each grid point in the 40–90° S region, which effectively illustrates the spatial distribution of the impacts of individual predictors. It was found that warmer conditions in the Antarctic stratosphere in September 2019 caused TOC to be up to 100 DU higher than normal, especially over East Antarctica. The results improve understanding of regional TOC trends and how the Antarctic ozone layer responds to changes in ozone-depleting substances
“ Theorem” for a Wide Range of
International audienceIn this chapter, we will study and prove the so-called “ Theorem” of Patarin (2005). More precisely, we will study the case for a wide range of values that is sufficient for most cryptographic applications. Then, in Chap. 17, we will use this result to prove some very strong security bound on generic Feistel ciphers. We also illustrate the usefulness of the result with the case , which has its own interest from a cryptographic point of view. Indeed, as we will see, it is closely related to the problem of distinguishing where f is a random permutation on n bits from a random function. The proof presented in this chapter follows the recent work by Cogliati et al. (2023), in which a complete and compact proof of the result is provided. We extend this paper by providing additional explanations and clarifications